Data processing systems for processing and analyzing data regarding self-awareness and executive function

ABSTRACT

Data processing computer systems that may be adapted for processing data by, for example: creating an electronic record for a self-awareness training plan; facilitating the completion of one or more electronic activities by the user; gathering self-awareness data and performance data; automatically calculating an executive function score based at least in part on the self-awareness data and the performance data; digitally storing the performance data, the self-awareness data, and the executive function score; identifying one or more goals for the user based at least in part on the performance data and the self-awareness data; providing one or more strategies to the user; gathering strategy data for the user related to the provided one or more strategies; automatically evaluating the strategy data to calculate, for the user, an executive function progression score; and digitally storing the executive function progression score with the record for the self-awareness training plan.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation-in-part of U.S. patent applicationSer. No. 15/644,697, filed Jul. 7, 2017, entitled “Data ProcessingSystems for Processing and Analyzing Data Regarding Self-Awareness andExecutive Function,” the disclosure of which is hereby incorporation byreference in its entirety.

BACKGROUND

An individual's executive function may relate to, for example, theirability to complete tasks through skills such as planning, organization,memory, time management, and flexible thinking. An individual'sexecutive function may include mental skills that help the individual'sbrain organize and act on information. These mental skills may enablethe individual to plan, organize, remember things, prioritize, payattention, and get started on particular tasks. These skills may alsohelp an individual use information from past experiences to solvecurrent problems.

Some individuals, particularly children, may struggle with activitiesrelated to executive functioning such as, for example: (1) keeping trackof time; (2) making plans; (3) making sure work is finished on time; (4)multi-tasking; (5) applying previously learned information to solve aproblem; (6) analyzing ideas; (7) looking for help or more informationif they need it; and/or (8) a plurality of other activities that requirethe mental skills discussed above. Children who struggle with theseactivities may further have trouble with various executive skills suchas, for example: (1) impulse control; (2) emotional control; (3)flexibility; (4) working memory; (5) self-monitoring; (6) taskinitiation; (7) organization; and/or (8) etc. Accordingly, there is aneed for improved systems and methods to help individuals recognizetheir executive function limitations and improve upon them.

SUMMARY

A data processing system for processing data regarding theself-awareness of a user for use in the development of the user'sexecutive functions, in various embodiments, comprises: (1) at least onecomputer processor; and (2) memory operatively coupled to the at leastone computer processor. In particular embodiments, the at least onecomputer processor is configured for: (1) executing computer-readableinstructions that, when executed by the at least one computer processor,facilitate the playing a game by the user; (2) gathering performancedata indicating the user's performance while the user plays the game;and (3) automatically evaluating the performance data to assess, for theuser, awareness of the user's abilities in performing a future task.

In various embodiments, a data processing system is configured forprocessing data regarding the self-awareness of a user for use in thedevelopment of the user's executive functions. In particularembodiments, the data processing system comprises: (1) at least onecomputer processor; and (2) memory operatively coupled to the at leastone computer processor. In any embodiment described herein, the at leastone computer processor may be adapted for: (1) executingcomputer-readable instructions that, when executed by the at least onecomputer processor, facilitate the playing a game by the user; (2)gathering performance data indicating the user's performance while theuser plays the game; and (3) automatically evaluating the performancedata to assess, for the user, awareness of the quality of theirperformance in a previously-performed task.

A data processing system for processing data regarding theself-awareness of a user for use in the development of the user'sexecutive functions, according to particular embodiments, comprises: thedata processing system comprising: (1) at least one computer processor;and (2) memory operatively coupled to the at least one computerprocessor. In any embodiment described herein, the at least one computerprocessor may be adapted for: (1) executing computer-readableinstructions that, when executed by the at least one computer processor,facilitate the playing of a game by the user; (2) gathering performancedata indicating the user's performance while the user plays the game;(3) prompting a user to input an indication of the level of difficultyof the game; (4) receiving, by one or more processors, from the user, anindication of the level of difficulty of the game; (5) performing acomparison of the input indication of the level of difficulty of thegame with an actual level of difficulty of the game (e.g., as determinedby the user's performance on the game and/or through an existingdifficulty rating of the game); (6) using the results of the comparisonto determine whether the user accurately assessed the game's level ofdifficulty; and (7) in response to determining that the user accuratelyassessed the game's level of difficulty increasing a self-awarenessscore for the user, and saving the increased self-awareness score tomemory.

A computer-implemented data processing method for electronicallyreceiving self-awareness assessment data related to a user andelectronically calculating an awareness score of the user, in variousembodiments, comprises: (1) providing a graphical user interface forcompleting a self-awareness assessment, the graphical user interfacecomprising: (A) at least one main task input associated with a maintask; (B) at least one targeted item input associated with a firsttarget item task; (C) at least one conditional input associated with anoccurrence of a first condition task; and (D) at least one timecondition occurrence input associated with a time condition task; (2)receiving a command to initiate a self-awareness assessment associatedwith the user; (3) creating an electronic record for the self-awarenessassessment and digitally storing the record; (4) initiating theself-awareness assessment; (5) electronically receiving input data,during the self-awareness assessment.

In particular embodiments, the input data comprises: (1) a first inputat a first time via the at least one main task input; (2) a second inputat a second time via the at least one targeted item input; (3) a thirdinput at a third time via the at least one conditional input; and (4) afourth input at a fourth time via the at least one time conditionoccurrence input. In some embodiments, the method further comprises: (1)processing the input data by electronically associating the input datawith the electronic record for the self-awareness assessment; and (2)using one or more computer processors, calculating an awareness scorefor the user based on the input data. In some embodiments, calculatingthe awareness score for the user comprises: (1) electronically adjustingthe awareness score based at least in part on the first input, the firsttime, and/or one or more instructions associated with the main task; (2)electronically adjusting the awareness score based at least in part onthe second input, the second time, and/or one or more instructionsassociated with the first target item task; (3) electronically adjustingthe awareness score based at least in part on the third input, the thirdtime, and/or one or more instructions associated with the firstcondition task; and/or (4) electronically adjusting the awareness scorebased at least in part on the fourth input, the fourth time, and/or oneor more instructions associated with the time condition task. Inparticular embodiments, the method further comprises digitally storingthe awareness score with the record for the self-awareness assessment.

In various embodiments, a data processing system is configured forprocessing data regarding the self-awareness of a user for use in thedevelopment of the user's executive functions. In some embodiments, thedata processing system comprises: (1) at least one computer processor;and (2) memory operatively coupled to the at least one computerprocessor. In various embodiments, the at least one computer processoris adapted for: (1) executing computer-readable instructions that, whenexecuted by the at least one computer processor, facilitate thecompletion of a self-awareness assessment by the user; and (2)displaying, a set of instructions associated with the self-awarenessassessment. In particular embodiments, the set of instructionscomprises: (1) one or more instructions associated with a main task ofthe self-awareness assessment; (2) one or more instructions associatedwith an embedded task of the self-awareness assessment, the embeddedtask occurring during the main task; and (3) one or more instructionsassociated with a conditional task of the self-awareness assessment.

In various embodiments, the at least one computer processor is furtheradapted for: (1) electronically receiving, via the graphical userinterface, during the self-awareness assessment, input data comprising:(A) one or more inputs associated with the main task at one or morefirst times; (B) one or more inputs associated with the embedded task atone or more second times; and (C) one or more inputs associated with theconditional task at one or more third times; and (2) processing theinput data by calculating an awareness score for the user based on theinput data. In some embodiments, calculating the awareness scorecomprises: (1) electronically adjusting the awareness score based atleast in part on the one or more instructions associated with the maintask, the one or more inputs associated with the main task, and/or theone or more first times; (2) electronically adjusting the awarenessscore based at least in part on the one or more instructions associatedwith the embedded task, the one or more inputs associated with theembedded task, and/or the one or more second times; and (3)electronically adjusting the awareness score based at least in part onthe one or more instructions associated with the conditional task, theone or more inputs associated with the conditional task, and/or the oneor more third times. In still other embodiments, the at least onecomputer processor is further adapted for: (1) digitally storing, in thememory, the awareness score; and (2) associating, in the memory, theawareness score with the user.

In various embodiments, a data processing system for processing dataregarding error evaluation for use in the development of a first user'sexecutive functions, comprises: (1) at least one computer processor; and(2) memory operatively coupled to the at least one computer processor.In particular embodiments, the at least one computer processor isadapted for: (1) executing computer-readable instructions that, whenexecuted by the at least one computer processor, facilitate evaluating,by the first user, an electronic activity completed by a second user;(2) displaying, via a graphical user interface, a visual representationof the second user completing the electronic activity; (3) whiledisplaying the visual representation of the second user completing theelectronic activity, gathering feedback data from the first userindicating the second user's performance on the electronic activity; (4)automatically evaluating the feedback data to determine a learning scorefor the first user (which may, for example, reflect the user's abilityto evaluate other users' performance of one or more particularactivities), wherein evaluating the feedback data comprises modifyingthe learning score based at least in part on the feedback data; and (5)digitally storing the learning score in an electronic record associatedwith the first user.

A data processing system for processing data regarding theself-awareness of a user for use in the development of the user'sexecutive functions, according to some embodiments, comprises: (1) atleast one computer processor; and (2) memory operatively coupled to theat least one computer processor. In some embodiments, the at least onecomputer processor is adapted for: (1) creating an electronic record fora self-awareness training plan associated with the user and digitallystoring the record; (2) executing computer-readable instructions that,when executed by the at least one computer processor, facilitate thecompletion of one or more electronic activities by the user; (3)gathering self-awareness data and performance data of the user as theuser completes the one or more electronic activities, wherein theself-awareness data is associated with the user's awareness of theuser's abilities while the user completes the one or more electronicactivities and the performance data is associated with the user'sperformance while the user completes the one or more electronicactivities; (4) automatically calculating an executive function scorebased at least in part on the self-awareness data and the performancedata; (5) digitally storing the performance data, the self-awarenessdata, and the executive function score with the record for theself-awareness training plan; (6) identifying one or more goals for theuser based at least in part on the performance data and theself-awareness data; (7) providing one or more strategies to the userbased at least in part on the identified one or more goals; (8)gathering strategy data for the user related to the provided one or morestrategies; (9) automatically evaluating the strategy data to calculate,for the user, an executive function progression score; and (10)digitally storing the executive function progression score with therecord for the self-awareness training plan.

BRIEF DESCRIPTION OF THE DRAWINGS

Various embodiments of a self-awareness assessment system are describedbelow. In the course of this description, reference will be made to theaccompanying drawings, which are not necessarily drawn to scale, andwherein:

FIG. 1 depicts a self-awareness assessment system according toparticular embodiments.

FIG. 2 is a schematic diagram of a computer (such as the self-awarenessassessment server 110, or one or more remote computing devices 130) thatis suitable for use in various embodiments of the self-awarenessassessment system shown in FIG. 1.

FIG. 3 is a flowchart showing an example of a processes performed by theSelf-Awareness Determination Module according to particular embodiments.

FIGS. 4-5 depict exemplary screen displays and graphical user interface(GUI) according to various embodiments of the system, which may displayinformation associated with the system or enable access to orinteraction with the system by one or more users, completion of one ormore self-awareness assessments or games by one or more users, etc.

FIG. 6 is a flowchart showing an example of a processes performed by theSelf-Awareness and Memory Module according to particular embodiments.

FIGS. 7-11 depict exemplary screen displays and graphical user interface(GUI) according to various embodiments of the system, which may displayinformation associated with the system or enable access to orinteraction with the system by one or more users, completion of one ormore self-awareness assessments by one or more users, etc.

FIG. 12 is a flowchart showing an example of a processes performed bythe Self-Awareness and Error Evaluation Module according to particularembodiments.

FIGS. 13-17 depict exemplary screen displays and graphical userinterface (GUI) according to various embodiments of the system, whichmay display information associated with the system or enable access toor interaction with the system by one or more users, completion of oneor more evaluation sessions by one or more users, etc.

FIG. 18 is a flowchart showing an example of a processes performed bythe Executive Function Training Module according to particularembodiments.

FIG. 19 depicts an exemplary screen display and graphical user interface(GUI) according to various embodiments of the system, which may displayinformation associated with the system or enable access to orinteraction with the system by one or more users, completion of one ormore evaluation sessions by one or more users, etc.

FIGS. 20A-20B depict exemplary screen displays and graphical userinterface (GUI) according to various embodiments of the system, whichmay display information associated with the system or enable access toor interaction with the system by one or more users, completion of oneor more evaluation sessions by one or more users, etc.

FIGS. 21-22 depict exemplary screen displays and graphical userinterface (GUI) according to various embodiments of the system, whichmay display information associated with the system or enable access toor interaction with the system by one or more users, completion of oneor more evaluation sessions by one or more users, etc.

FIGS. 23A-23C depict exemplary screen displays and graphical userinterface (GUI) according to various embodiments of the system, whichmay display information associated with the system or enable access toor interaction with the system by one or more users, completion of oneor more evaluation sessions by one or more users, etc.

FIGS. 24A-24B depict exemplary screen displays and graphical userinterface (GUI) according to various embodiments of the system, whichmay display information associated with the system or enable access toor interaction with the system by one or more users, completion of oneor more evaluation sessions by one or more users, etc.

DETAILED DESCRIPTION

Various embodiments now will be described more fully hereinafter withreference to the accompanying drawings. It should be understood that theinvention may be embodied in many different forms and should not beconstrued as limited to the embodiments set forth herein. Rather, theseembodiments are provided so that this disclosure will be thorough andcomplete, and will fully convey the scope of the invention to thoseskilled in the art. Like numbers refer to like elements throughout.

Overview

A self-awareness system, according to various embodiments, is configuredto: (1) assess the self-awareness of a user in performing one or moreiterations of a particular activity (e.g., an electronic game or otheractivity). In particular embodiments, the system may do this by: (1)generating multiple iterations of a particular electronic activity; (2)having the user complete the multiple iterations of the particularelectronic activity; (3) in the context of the user executing themultiple iterations of the particular electronic activity, prompting theuser for feedback regarding the user's past or future performance inperforming one or more of the particular iterations of the particularelectronic activity; (4) as the user executes each iteration of theparticular electronic activity, collecting data regarding the user'sactual performance while executing the particular electronic activity;(5) comparing the user's assessment of their performance with the dataregarding the user's actual performance; (6) based on the comparison,determining whether the user was accurate in assessing their performancein executing the one or more iterations of the particular electronicactivity; (7) adjusting a self-awareness score for the user based atleast partially on the user's determined accuracy level in assessingtheir performance in executing the one or more iterations of theparticular electronic activity; and (8) saving the user's adjustedself-awareness score to computer memory.

In particular embodiments, the system may present the user with theoption to use one or more performance aids before, during, or aftertheir execution of one or more iterations of the particular electronicactivity. The one or more performance aids may include, for example: (1)a demonstration of how the particular electronic activity should beperformed (e.g., a demonstration of the successful play of a particularelectronic game); (2) one or more hints as to how to improve theirperformance at the particular electronic activity; (3) an opportunity toredo their performance of a particular iteration of the particularelectronic activity; and/or (4) an opportunity to practice theparticular electronic activity before being scored on their performanceof the electronic activity e.g., by executing a “dry run” of theparticular electronic activity, which may, for example, be a particulargame. In various embodiments, the system may automatically modify theuser's self-awareness score and/or the user's performance score for theparticular iteration of the particular electronic activity in responseto the user choosing to use one or more of the performance aids incompleting the one or more iterations of the electronic activity. Forexample, in a particular embodiment, if the user elects to use one ormore of the performance aids in conjunction with completing a particulariteration of a particular electronic activity, the system may increasethe user's self-awareness score and decrease a performance score thatreflects the user's performance in executing the particular iteration ofthe particular activity.

In particular embodiments, the system may require a user to use one ormore particular performance aids before executing a particularelectronic activity. For example, the system may require a user toexecute a dry run of a particular game before playing the game forpoints or other credit. In particular embodiments, if the systemrequires a dry run for a particular game, the system may increase theuser's awareness score if the user's performance during the scoredversion of the game is accurate (e.g., the user's performance in playingthe game is above a pre-defined threshold) and decrease the user'sawareness score if the user's performance during the scored version ofthe game is inaccurate (e.g., the user's performance in playing the gameis below a pre-defined threshold).

The system may also, or alternatively, adjust the user's self-awarenessscore based on the user's awareness of why their performance was the waythat it was. For example, if the user performed well on a particulariteration of the electronic activity in which the user elected to useone or more optional performance aids, and the user indicated that theydid well in that particular iteration because they used the performanceaid, the system may increase the user's self-awareness score. However,if the user indicated that they performed well on a particular iterationof a particular electronic activity because they used a performance aid,when in fact they didn't use a performance aid, the system may decreasethe user's self-awareness score to reflect that they user didn'taccurately remember what happened when executing the iteration of theelectronic activity (which may be indicative of the user not being awareof what they are doing).

The system may also, or alternatively, adjust the user's self-awarenessscore based on the user's awareness of the level of difficulty of aparticular iteration of a particular game. For example, if the systemarranges to have the user play the same electronic game five times, thesystem may prompt the user, after each iteration of the game, howdifficult that iteration of the particular game was. The system may thencompare the user's answers with an actual relative difficulty level ofthe game to determine how accurately the user assessed the difficulty ofeach iteration of the game. The system may then adjust the user'sself-awareness score based on the assessed accuracy (e.g., the systemmay increase the user's self-awareness score if the user accuratelyassessed the difficulty of each iteration, or decrease the user'sself-awareness score if the user was not accurate in assessing thedifficult of one or more of the iterations.)

In various embodiments, the system may further measure a user'sself-awareness (e.g., adjust the self-awareness score) based at least inpart on the user's actions during the playing of a particular game orcompletion of an electronic activity. For example, a particular game mayinclude one or more instructions, challenges, or other tasks that theuser is instructed to perform while the user is playing the game thatare designed to test the user's awareness. A particular game may, forexample, include a main task that the user is performing as part of thegame in addition to one or more sub-tasks, conditional tasks, time-basedtasks, etc. In various embodiments, each particular sub-task,conditional task, etc. may include a trigger as well as an action thatthe user is supposed to perform in response to that trigger. These tasksthat are in addition to the main task may be designed to test whetherthe user can maintain awareness of these other tasks that are secondaryto the main task (e.g., which may test multi-tasking and other skillsrelated to executive function).

For example, a particular game may include a targeted task that includesan instruction for the user to press a particular button if the usersees a particular image on the screen while the user is playing thegame. The system may, for example, adjust the user's awareness scorebased on whether the user notices the image pop up and presses thebutton. If, for example, the user does not press the button, the systemmay decrease the user's awareness score. If the user notices the imageand presses the button immediately, the system may increase the user'sawareness score. If the user notices the image and presses the buttonafter a delay, the system may increase the user's awareness score by anamount less than if the user had pressed the button immediately afterthe image appeared.

In another example, a particular game may include a conditional taskthat includes a triggering event and an action that the user should takeif the triggering event occurs. In various embodiment's, the triggeringevent for the conditional task includes a particular event occurringwhile the user is playing the game (e.g., the user performs a particularaction as part of the main task, the user provides a particular inputvalue to the system while performing the main task, etc.). The systemmay instruct the user to press a particular button or perform any othersuitable action if the user recognizes that the triggering eventoccurred while the user is playing the game. In this example, the systemmay modify the user's awareness score based on whether the userrecognizes the triggering event and how quickly the user performs theaction (e.g., pressing the button) after recognizing it. In particularembodiments, the system is configured to measure the user's awarenessbased on whether the user is able to remember to remember additionalinstructions while performing a primary or main task of a particulargame (e.g., using one or more prospective memory skills).

In particular embodiments the system is further configured to provide aninterface with which the user can review and evaluate the user's own oranother user's performance on a particular game. The system may, forexample, display a replay of another user's performance of a particulargame (e.g., a visual representation of the user's actions). While theuser is reviewing the other user's play in a particular game, the systemmay be configured to prompt the user to evaluate one or more errors madeby the other user. In particular embodiments, the system is configuredto modify the user's awareness score in response to the user correctlyidentifying a type of a particular error. In still other embodiments,the system is configured to modify the user's score if the user is ableto evaluate a correct reason for the error. In particular embodiments,the system is configured to enable the user to evaluate their ownperformance (e.g., without informing the user that it is their ownperformance that they are evaluating). Some individuals may, forexample, be unable to recognize their own shortcomings, but are betterable to point out mistakes and reasons for mistakes in others. Bypresenting the user with their own performance for their review, thesystem may be configured to enable the user to evaluate their ownperformance more accurately or openly.

In particular embodiments, the system is configured to provide feedbackto the user during a particular evaluation session. For example, byhaving the user identify one or more errors in replays of gamespreviously played by themselves or others, the system may teach the userto identify errors in execution when playing a game and reasons forthose errors. In particular embodiments, this teaching may enable theuser to identify potential errors in the future when the user is playingother iterations of various games. In particular embodiments, the systemis further configured to modify a user's awareness score based at leastin part on the user's recognition of the benefit of the evaluationsessions. For example, the system may be configured to increase theuser's awareness score in response to the user providing feedback thatthe evaluations and feedback that the user received was helpful and thatthe user will incorporate that feedback into their life.

In particular embodiments, the system is configured to create anelectronic record for each individual user, which may, for example,include a user profile. In various embodiments, the system may populatethe user profile with information regarding the user's strengths andweaknesses relating to the user's executive function. The system mayidentify these strengths and weaknesses based at least in part on datarelated to the user's performance and self-awareness determined duringthe user's completion of the various iterations of games and otherelectronic activities discussed above. In particular embodiments, thesystem is configured to calculate a self-awareness score, performancescore, etc. for a user based on the user's performance on one or moreparticular activities such as one or more self-awareness assessments,one or more games, etc. The system may then generate and/or store goalsfor the user and associate those goals with the user profile.

In particular embodiments, the system is adapted to implement a trainingprocess for improving the user's executive function (e.g., such as theexecutive function skills discussed above). For example, the system mayprovide a plurality of training games that are tailored to the user andbased at least in part on the user's goals. The system may, for example,as part of the training process, track the user's progress by analyzingone or more connections between the user's strategy in playingparticular games, the user's goals, and real-life skills that the useris attempting to develop.

As part of the training process, the system may measure the user'sability to connect strategies for performing in particular games to reallife skills and the user's goals. The system may, for example, calculatea score for the user that relates to the user's ability to evaluate theusefulness of particular strategies that reflect a connection betweennew things the user has learned while evaluating errors and real-lifeskills that are reflected in the user's goals. For example, the system,in various embodiments, may be configured to modify such a score basedon a user's ability to: (1) identify one or more effective habits totake away from evaluating another user's performance in particulargames; (2) pick a strategy aid that actually helps the user'sperformance in a particular game (e.g., results in improvedperformance); (3) match one or more strategies or habits to particularlife goals; (4) rate the usefulness of provided strategies; and/or (5)etc.

Various embodiments of a self-awareness assessment system are describedmore fully below.

Exemplary Technical Platforms

As will be appreciated by one skilled in the relevant field, the presentinvention may be, for example, embodied as a computer system, a method,or a computer program product. Accordingly, various embodiments may takethe form of an entirely hardware embodiment, an entirely softwareembodiment, or an embodiment combining software and hardware aspects.Furthermore, particular embodiments may take the form of a computerprogram product stored on a computer-readable storage medium havingcomputer-readable instructions (e.g., software) embodied in the storagemedium. Various embodiments may take the form of web-implementedcomputer software. Any suitable computer-readable storage medium may beutilized including, for example, hard disks, compact disks, DVDs,optical storage devices, and/or magnetic storage devices.

Various embodiments are described below with reference to block diagramsand flowchart illustrations of methods, apparatuses (e.g., systems), andcomputer program products. It should be understood that each block ofthe block diagrams and flowchart illustrations, and combinations ofblocks in the block diagrams and flowchart illustrations, respectively,can be implemented by a computer executing computer programinstructions. These computer program instructions may be loaded onto ageneral purpose computer, special purpose computer, or otherprogrammable data processing apparatus to produce a machine, such thatthe instructions which execute on the computer or other programmabledata processing apparatus to create means for implementing the functionsspecified in the flowchart block or blocks.

These computer program instructions may also be stored in acomputer-readable memory that can direct a computer or otherprogrammable data processing apparatus to function in a particularmanner such that the instructions stored in the computer-readable memoryproduce an article of manufacture that is configured for implementingthe function specified in the flowchart block or blocks. The computerprogram instructions may also be loaded onto a computer or otherprogrammable data processing apparatus to cause a series of operationalSteps to be performed on the computer or other programmable apparatus toproduce a computer implemented process such that the instructions thatexecute on the computer or other programmable apparatus provide Stepsfor implementing the functions specified in the flowchart block orblocks.

Accordingly, blocks of the block diagrams and flowchart illustrationssupport combinations of mechanisms for performing the specifiedfunctions, combinations of Steps for performing the specified functions,and program instructions for performing the specified functions. Itshould also be understood that each block of the block diagrams andflowchart illustrations, and combinations of blocks in the blockdiagrams and flowchart illustrations, can be implemented by specialpurpose hardware-based computer systems that perform the specifiedfunctions or Steps, or combinations of special purpose hardware andother hardware executing appropriate computer instructions.

Example System Architecture

FIG. 1 is a block diagram of a Self-Awareness Assessment System 100according to a particular embodiment. In various embodiments, theSelf-Awareness Assessment System 100 may be implemented in any suitablecontext, such as in the diagnosis and/or treatment of one or more issuesrelated to an individual's executive function. In some embodiments, theSelf-Awareness Assessment System 100 is configured to calculate andmeasure a user's self-awareness, provide feedback and coaching relatedto improving that self-awareness, predict the user's future performancein self-awareness assessments, etc.

As may be understood from FIG. 1, the Self-Awareness Assessment System100 includes one or more computer networks 115, a Self-AwarenessAssessment Server 110, one or more remote computing devices 130 (e.g., adesktop computer, laptop computer, tablet computer, smartphone, etc.),and One or More Databases 140. In particular embodiments, the one ormore computer networks 115 facilitate communication between theSelf-Awareness Assessment Server 110, one or more remote computingdevices 130 (e.g., a desktop computer, laptop computer, tablet computer,etc.), and one or more databases 140.

The one or more computer networks 115 may include any of a variety oftypes of wired or wireless computer networks such as the Internet, aprivate intranet, a public switch telephone network (PSTN), or any othertype of network. The communication link between Self-AwarenessAssessment Server 110 and Database 140 may be, for example, implementedvia a Local Area Network (LAN) or via the Internet. In otherembodiments, the Database 140 may be stored on any suitable serverdescribed herein.

FIG. 2 illustrates a diagrammatic representation of a computer 200 thatcan be used within the Self-Awareness Assessment System 100, forexample, as a client computer (e.g., one or more remote computingdevices 130 shown in FIG. 1), or as a server computer (e.g.,Self-Awareness Assessment Server 110 shown in FIG. 1). In particularembodiments, the computer 200 may be suitable for use as a computerwithin the context of the Self-Awareness Assessment System 100 that iscalculate a self-awareness score for a user, evaluate a user'sself-awareness assessment performance data, etc.

In particular embodiments, the computer 200 may be connected (e.g.,networked) to other computers in a LAN, an intranet, an extranet, and/orthe Internet. As noted above, the computer 200 may operate in thecapacity of a server or a client computer in a client-server networkenvironment, or as a peer computer in a peer-to-peer (or distributed)network environment. The Computer 200 may be a personal computer (PC), atablet PC, a set-top box (STB), a Personal Digital Assistant (PDA), acellular telephone, a web appliance, a server, a network router, aswitch or bridge, or any other computer capable of executing a set ofinstructions (sequential or otherwise) that specify actions to be takenby that computer. Further, while only a single computer is illustrated,the term “computer” shall also be taken to include any collection ofcomputers that individually or jointly execute a set (or multiple sets)of instructions to perform any one or more of the methodologiesdiscussed herein.

An exemplary computer 200 includes a processing device 202, a mainmemory 204 (e.g., read-only memory (ROM), flash memory, dynamic randomaccess memory (DRAM) such as synchronous DRAM (SDRAM) or Rambus DRAM(RDRAM), etc.), static memory 206 (e.g., flash memory, static randomaccess memory (SRAM), etc.), and a data storage device 218, whichcommunicate with each other via a bus 232.

The processing device 202 represents one or more general-purposeprocessing devices such as a microprocessor, a central processing unit,or the like. More particularly, the processing device 202 may be acomplex instruction set computing (CISC) microprocessor, reducedinstruction set computing (RISC) microprocessor, very long instructionword (VLIW) microprocessor, or processor implementing other instructionsets, or processors implementing a combination of instruction sets. Theprocessing device 202 may also be one or more special-purpose processingdevices such as an application specific integrated circuit (ASIC), afield programmable gate array (FPGA), a digital signal processor (DSP),network processor, or the like. The processing device 202 may beconfigured to execute processing logic 226 for performing variousoperations and Steps discussed herein.

The computer 200 may further include a network interface device 208. Thecomputer 200 also may include a video display unit 210 (e.g., a liquidcrystal display (LCD) or a cathode ray tube (CRT)), an alphanumericinput device 212 (e.g., a keyboard), a cursor control device 214 (e.g.,a mouse), and a signal generation device 216 (e.g., a speaker).

The data storage device 218 may include a non-transitorycomputer-accessible storage medium 230 (also known as a non-transitorycomputer-readable storage medium or a non-transitory computer-readablemedium) on which is stored one or more sets of instructions (e.g.,software instructions 222) embodying any one or more of themethodologies or functions described herein. The software instructions222 may also reside, completely or at least partially, within mainmemory 204 and/or within processing device 202 during execution thereofby computer 200—main memory 204 and processing device 202 alsoconstituting computer-accessible storage media. The softwareinstructions 222 may further be transmitted or received over a network115 via network interface device 208.

While the computer-accessible storage medium 230 is shown in anexemplary embodiment to be a single medium, the term“computer-accessible storage medium” should be understood to include asingle medium or multiple media (e.g., a centralized or distributeddatabase, and/or associated caches and servers) that store the one ormore sets of instructions. The term “computer-accessible storage medium”should also be understood to include any medium that is capable ofstoring, encoding or carrying a set of instructions for execution by thecomputer and that cause the computer to perform any one or more of themethodologies of the present invention. The term “computer-accessiblestorage medium” should accordingly be understood to include, but not belimited to, solid-state memories, optical and magnetic media, etc.

Exemplary System Platform

Various embodiments of a Self-Awareness Assessment System 100 may beimplemented in the context of any suitable system (e.g., a mobilecomputing system). For example, the Self-Awareness Assessment System 100may be implemented to evaluate performance and self-awareness datarelated to a user's performance during a self-awareness assessment(e.g., or an iterative series of electronic activities). The system may,for example, calculate a self-awareness score for the user based atleast in part on inputs provided by the user during the completion ofone or more particular self-awareness assessments. The system mayfurther be configured to, for example: (1) provide training to improvean individual's executive function; and (2) modify a particularself-awareness assessment to aid a user in identifying their ownexecutive function limitations, etc.

Various aspects of the system's functionality may be executed by certainsystem modules, including: (1) a Self-Awareness Determination Module300; (2) a Self-Awareness and Memory Module 600; (3) a Self-Awarenessand Error Evaluation Module 1400; and (4) an Executive Function TrainingModule 1500. These modules are discussed in greater detail below.Although these modules are presented as a series of steps, it should beunderstood in light of this disclosure that various embodiments of themodules described herein may perform the steps described below in anorder other than in which they are presented. In still otherembodiments, the modules may omit certain steps described below. Invarious other embodiments, any of the modules described herein mayperform steps in addition to those described, and/or may include stepsdescribed with respect to one or more of the other modules described.

Self-Awareness Determination Module

FIG. 3 illustrates an exemplary process for operationalizing adetermination of a user's self-awareness (e.g., by calculating aself-awareness score for the user). The Self-Awareness DeterminationModule 300, which may be executed by the one or more computing devicesof the system 100, may perform this process. In exemplary embodiments, aclient-computing device, such as one or more remote computing devices130, can execute the Self-Awareness Determination Module 300 and accessa database (e.g., the one or more databases 140 shown in FIG. 1) througha suitable network (e.g., one or more networks 115). In variousexemplary embodiments, the Self-Awareness Determination Module 300 maycall upon other modules (e.g., such as any suitable module describedherein) to perform certain functions. In exemplary embodiments, thesoftware may also be organized as a single module to perform variouscomputer-executable routines.

The system, when executing the Self-Awareness Determination Module 300,according to various embodiments, is configured to: (1) assess theself-awareness of a user in performing one or more iterations of aparticular activity (e.g., an electronic game or other activity). Inparticular embodiments, the system may do this by: (1) generatingmultiple iterations of a particular electronic activity; (2) having theuser complete the multiple iterations of the particular electronicactivity; (3) in the context of the user executing the multipleiterations of the particular electronic activity, prompting the user forfeedback regarding the user's past or future performance in performingone or more of the particular iterations of the particular electronicactivity; (4) as the user executes each iteration of the particularelectronic activity, collecting data regarding the user's actualperformance while executing the particular electronic activity; (5)comparing the user's assessment of their performance with the dataregarding the user's actual performance; (6) based on the comparison,determining whether the user was accurate in assessing their performancein executing the one or more iterations of the particular electronicactivity; (7) adjusting a self-awareness score for the user based atleast partially on the user's determined accuracy level in assessingtheir performance in executing the one or more iterations of theparticular electronic activity; and (8) saving the user's adjustedself-awareness score to computer memory.

For each particular iteration of a particular electronic activitydiscussed above, the system, when executing the Self-AwarenessDetermination Module 300 begins by initiating Step 310, by receiving acommand to execute an electronic game to be played by a user. Theelectronic game, as described below, may be presented on any suitabledisplay, such as a video display 210 (e.g., see FIG. 2). The electronicgame can include many different types of games such as matching picturesor patterns, correlating pictures or patterns, selecting particularitems presented to the user in the display, or identifying pathwaysbetween two or more points, among others. In various embodiments, theelectronic games are designed to enable the system, when executing theSelf-Awareness Determination Module 300, or any other module of thesystem 100, to assess, modify, and/or otherwise adjust the user'sself-awareness and track the user's performance on the electronic gameand over the course of a plurality of iterations of one or more games.Additionally, in some embodiments, one or more of the electronic games(e.g., one or more iterations of the electronic games) may be adjustedbased on length, difficulty, and/or complexity.

At Step 320, as the user plays the electronic game, the system isconfigured to gather performance data indicating how well the user isperforming at the electronic game as the user is playing the electronicgame. In particular embodiments, the performance data may include aperformance score for a particular electronic activity or for eachiterations of a particular electronic activity. In various embodiments,the performance score may include a score that reflects the user'sactual performance on a particular activity (e.g., how many correctanswers the user provides, how accurately the user responded to one ormore questions in the electronic activity, how many incorrect answersthe user provides or mistakes the user makes on the electronic activity,etc.).

In particular embodiments, the system may, in addition to gatheringperformance data for the user, evaluate the user's self-awareness inperforming various iterations of a particular electronic activity. Insuch embodiments, the system is configured to calculate a self-awarenessscore to identify a level of self-awareness of the user as well as aperformance score to identify a level of how well the user is performingon a current iteration of the electronic game, as well as the user'sawareness surrounding that performance. The self-awareness score may becalculated based on one or more algorithms that are used to indicate theuser's self-awareness. In various embodiments, the self-awareness scoremay incorporate one or more weighting factors and may be based upon, forexample: (1) whether the user selected a learning aid while playing aparticular game; (2) how accurately the user predicted how well theyperformed on a particular game or how well the user predicted how wellthey would perform on a particular iterations of an electronic game; (3)how accurately the user perceived the difficulty of a particular game tobe, etc. These particular factors that relate to the calculation of auser's self-awareness (e.g., self-awareness score) will be discussedmore fully below.

Continuing to Step 330, the system, while the user is playing aparticular game, presents the user with the option to select a learningaid that will assist the user in playing the game (e.g., is designed toassist the user). For examples, the one or more performance aids mayinclude, for example: (1) a demonstration of how the particularelectronic activity should be performed (e.g., a demonstration of thesuccessful play of a particular electronic game); (2) one or more hintsas to how to improve their performance at the particular electronicactivity; (3) one or more dry runs at the particular electronicactivity; and/or (4) an opportunity to redo their performance of aparticular iteration of the particular electronic activity.

At Step 340, in response to the user selecting the learning aid orperformance aid, the system is configured to modify the user'sself-awareness score and/or the user's performance score. In particularembodiments, the system may increase the user's self-awareness scoreand/or decrease the user's performance score. For example, the systemmay increase the self-awareness score in response to the user selectingthe learning aid. In various embodiments, the increase in theself-awareness score may reflect, for example, the user's recognitionthat: (1) the user requires aid in a particular game or electronicactivity; (2) the user is not performing well on the activity; (3) theuser is confused by the activity; and/or (4) etc.

Additionally, the system may decrease the user's performance score inresponse to the user selecting the performance aid, because, as the userreceives assistance from the learning aid, their performance at theelectronic game may be falsely inflated above their present abilities.As may be understood in light of this disclosure, the user's selectionof the learning aid may reflect well on their awareness of theirabilities (e.g., resulting in an increase in awareness score), but mayreflect poorly on their ability to perform in the game or activity(e.g., resulting in a decrease of the user's performance score).

In further embodiments, in response to the user not selecting apresented learning aid while playing the electronic game, the system maybe configured to modify the self-awareness score for the user (e.g., byincreasing or decreasing the score). For example, if the user is notperforming well (e.g., the user has a low performance score) on theelectronic game and the user does not select the learning aid, then thesystem may decrease the self-awareness score (e.g., to indicate a lowerlevel of self-awareness because the user did not realize that they couldhave used some aid), but if the user is performing well (e.g., the userhas a high performance score) on the electronic game and the user doesnot select the learning aid, then the system may increase theself-awareness score (e.g., to indicate a higher level of self-awarenessbecause the user realized that they were performing well and didn'trequire aid).

Continuing to Step 350, the system prompts the user to indicate aperceived difficulty level of the game and/or a perceived level of howwell they performed while playing the electronic game. The perceiveddifficultly level may be selected from a list of available selectionsthat are presented to the user in the display, or the user may beprompted to input a difficulty level. In some implementations, thedifficulty level may be a numerical value or letter indication, whichcan be within a range (e.g., 1 to 10 or A to F). The difficultly levelmay be provided to indicate how difficult the user perceived theiteration of the electronic game that was just completed by the user. Insome embodiments, the system may prompt the user to indicate how wellthey performed on the iteration of the electronic game just completed bythe user. For example, this may include an indication by the user of howwell they met one or more objective of the electronic game, how wellthey scored on the electronic game, etc. In some embodiments, theindication provided by the user of how well they performed at theelectronic game may be selected from a list of available selections thatare presented to the user in the display, or the user may be prompted toinput syntax in a text box to indicate how well they believe theyperformed. In particular embodiments, the system may further prompt theuser to indicate how well the user thinks they will perform on aparticular game prior to the user playing the game. For example, thesystem may prompt the user to provide a prediction of how well the userwill perform in the game (e.g., how many correct answers the user willprovide during the game, how accurately the user will play the game,etc.).

In further embodiments, the system is configured to compare theperceived level of difficulty provided by the user with an actualdifficulty level for the electronic game, the user's performancerelative to the perceived difficulty, etc. In particular embodiments,the system may use this comparison to determine a user's self-awarenessrelated to how difficult a user perceives a game to be relative to howdifficult the game was designed to be or actually was for the user.

Continuing to Step 360, in response to the comparison of the perceivedlevel of difficulty provided by the user with an actual difficultylevel, is configured to adjust and/or modify the self-awareness scorefor the user. For example, if the user accurately indicates thedifficulty level of the electronic game, the system may increase theuser's self-awareness score. However, if the user does not accuratelyassess the game's difficulty level, the system may decrease the user'sself-awareness score. The system may then be configured to save theadjusted self-awareness score to memory.

A number of methods may be used to determine whether the user accuratelyassessed the game's difficulty level. In some embodiments, the game'sdifficulty level may be indicated as a numerical value, and the systemmay provide a range (e.g., one number higher and one number lower thanthe actual difficulty level) of numerical values that the system maycompare the perceived difficulty to. The system may then determinewhether the user accurately assessed the difficulty level based on thecomparison. For example, if the game has an actual difficulty level of 4in a range between 1- and 10, then the system may indicate that the useraccurately indicated the actual level of difficulty for the electronicgame if the user indicated that the perceived level of difficulty wasbetween 3 and 5 (i.e., the range). However, in other embodiments therange associated with an accurate indication may be smaller or larger.

In other implementations, the difficulty level may not be provided innumerical values, and for example, may include levels of “Easy,”“Medium,” “Hard,” or “Very Difficult,” among others. Additionally, insome embodiments, the system may provide one or more difficulty levelsthat may include selectable levels of difficulty, such as “Piece ofcake,” “Just Right,” “Made me Sweat,” or “Way too hard,” among others.In such implementations, the user may be required to indicate the exactdifficulty level in order for the system to determine that the useraccurately indicated the actual difficulty level of the electronic game.In some implementations, such as those discussed above, multipleiterations of the electronic game are provided for the user to play, andeach iteration of the multiple iterations may include a differentdifficulty level. The system may prompt the user to indicate a perceiveddifficulty level for each iteration of the electronic game, and thesystem may then determine whether the user accurately indicated theactual difficulty level for one or more of the iterations of theelectronic game, as discussed above. The system may modify thedifficulty level in the iterations of the electronic game by making thepatterns or pathways of the electronic game more or less inconspicuousor difficult/easier to complete.

In particular embodiments, the system may determine that the useraccurately indicated a difficulty level based on the user's performancescore. For example, if the user indicates that a particular game wasrelatively easy (e.g., by assigning a low difficulty rating), the systemmay decrease the user's self-awareness score if the user performedpoorly on the game (e.g., received a poor performance score). This mayreflect, for example, a lack of awareness on the part of the userrelating to the difficulty of the game because the user felt the gamewas easy but did not perform well. Similarly, the system may beconfigured to decrease the user's self-awareness score if the userindicated that a game was relatively difficult but the user performedwell in the game. In yet another example, the system may be configuredto increase a user's self-awareness score where the user's perceiveddifficulty level provided to the system substantially aligns with (e.g.,matches) their actual performance. For example, if the user indicatesthat a game was difficult and the user performed poorly on the game, thesystem may increase the user's awareness score. Similarly, if the userindicates that a game was easy and the user performed well, the systemmay increase the user's awareness score.

Returning to Step 370, the system is configured to adjust the user'sself-awareness score based at least in part on how accurately a userpredicts that they will perform on a future game (e.g., a futureiteration of an electronic game) or how well the user just performed ona particular electronic game). In some implementations, two or moreiterations of the electronic game are provided for the user to play. Insuch implementations, after the user completes the performance of atleast one iteration of the game, and before the user completes at leastone additional iteration of the game, the system may prompt the user toinput the user's prediction of their future performance on the at leastone additional iteration of the game. In some implementations, the useris prompted to input the user's prediction of their future performanceprior to initiating the first iteration of the electronic game.

The prompt provided by may be embodied as a list of potential choices(e.g., numerical values between 1 and 10 and/or syntax indicating howwell the user will perform such as “Excellent,” “Good,” or “Poor,” amongothers). After the user completes the additional iteration of theelectronic game, the system may be configured to compare the user'sprediction of their future performance with the user's actualperformance on that iteration of the electronic game. In response, thesystem, in particular embodiments, is configured to adjust the user'sself-awareness score. For example, if the user accurately indicates howwell they will perform on the electronic game, the system may increasethe user's self-awareness score. However, if the user does notaccurately assess how well the user will perform on the electronic game,the system may decrease the user's self-awareness score. The system maythen be configured to save the adjusted self-awareness score to memoryassociated with the Self-Awareness Determination Module 300.

A number of methods may be used to determine whether the user accuratelyassessed how well they performed on the game or will perform on a futurecame. In comparing how well the user predicted they would perform andhow well they actually performed, a performance threshold may be used todetermine if the user accurately assessed how well they performed on theelectronic game. When the user's predicted performance and actualperformance are based on a numerical value, the performance thresholdcan be a numerical value in the range of numerical values. For example,if the user's predicted performance and actual performance are in anumerical range between 1 and 10, the performance threshold may be anumber in this range, such as 5. In other implementations, theperformance may be classified based on syntax indicating the predictedand actual performance level, such as “Excellent,” “Good,” or “Poor,”among others. In such a configuration, the performance threshold may beone of the performance classifications, such as “Good.”

In various embodiments, the system is configured to can compare theuser's predicted performance (e.g., predicted performance of how theuser just performed on a game or how the user will perform on a futuregame) and actual performance to the performance threshold. If the user'spredicted performance and actual performance are both either above thethreshold or below the threshold, then the system may be configuredindicate that the user accurately predicted how well they will performon the electronic game. The system may then increase the user'sself-awareness score. However, if either (1) the user's predictedperformance exceeded the performance threshold and the actualperformance did not exceed the performance threshold, or (2) the user'spredicted performance did not exceed the performance threshold and theactual performance did exceed the performance threshold, then the systemmay indicate that the user did not accurately predict how well they willperform on the electronic game. The system may then decrease the user'sself-awareness score.

Further, after the user completes the performance of at least oneiteration of the game, the system may prompt the user to input a reasonwhy the user performed at least a portion of the game accurately. Forexample, in an electronic game where the objective is to select matchingitems, the user may input the reason as being that the user matched anitem provided on a first display with an item provided in a seconddisplay. The prompt for the user to input the reason may be a list ofinput reasons provided for the user to select from or a section of thedisplay for the user to input text indicating the one or more reasons.Upon the user providing the one or more reasons, the system maydetermine whether the one or more reasons are correct, and in response,adjust the user's self-awareness score. In some implementations, if theone or more reasons are correct, then the system may increase the user'sself-awareness score; however, if the one or more reasons are incorrect,then the system may decrease the user's self-awareness score. Forexample, in the matching electronic game described above, if the userprovides the reason of the user matching two items presented ondifferent displays, the system may determine this is a correct answer;however, if the user provides input indicating the reason that the userplayed the game accurately is that they completed the game quickly, thesystem may determine this is an incorrect answer.

In some embodiments, the system is configured to provide a performanceaid or learning aid in the electronic game, as discussed above. The usermay indicate that using the performance aid or learning aid is a reasonwhy the user performed at least a portion of the game accurately. Inresponse to this reason provided by the user, the system may determinewhether the user actually used the performance aid or learning aid whileperforming the at least one iteration of the game, and adjust the user'sself-awareness score accordingly. For example, where the user indicatedthat using the performance aid or learning aid aided the user'sperformance, and the user actually used the performance aid or learningaid while performing the at least one iteration of the game, the systemmay increase a self-awareness score of the user. However, where the userindicated that using the performance aid or learning aid aided theuser's performance, and the user did not use the performance aid orlearning aid while performing the at least one iteration of the game,the system may decrease the self-awareness score of the user. Further,where the user indicated that the user did not use the performance aidor learning aid in the user's performance, and the user actually usedthe performance aid or learning aid while performing the at least oneiteration of the game, the system may decrease the self-awareness scoreof the user.

In particular embodiments, the system is configured to modify the user'sself-awareness score as the user completes additional iterations of theone or more electronic activities. In particular embodiments, the systemis configured to store the self-awareness score in memory and associatethe self-awareness score with the user. In various embodiments, thesystem is configured to track one or more changes to the user'sself-awareness score over time. In particular embodiments, the system isconfigured to generate a visual or graphical representation (e.g.,graph, chart, etc.) of the change in the user's self-awareness score anddisplay the visual or graphical representation to any suitableindividual upon request.

Exemplary User Experience of a Self-Awareness Assessment for Determininga User's Self-Awareness

In the exemplary embodiments of the system for processing data regardingthe self-awareness of a user for use in the development of the user'sexecutive functions, the system, when executing the Self-AwarenessDetermination Module 300, or any other module of the system 100, mayfacilitate the playing of an electronic game or the completion of aself-awareness assessment by the user. As described above, the user mayplay one or more different electronic games, and the electronic gamescan include many different types of games, such as matching pictures orpatterns, correlating pictures or patterns, selecting particular itemspresented to the user in the display, or identifying pathways betweentwo or more points, among others. The user may further play multipleiterations of the same electronic game.

One or more directions or objectives for the electronic game may beprovided when the user initiates the electronic game; however, indifferent iterations of a particular electronic game, more or fewerdirections or objectives may be provided. In implementations, theelectronic games are designed to enable the system executing theSelf-Awareness Determination Module 300, or any other module of thesystem 100, to assess the user's self-awareness and track the user'sperformance on the electronic game.

FIG. 5 illustrates an example user interface of an electronic game 500that the user may play. In the electronic game 500, the display (e.g.,video display 110) provides a grid of selectable blocks. In theexemplary embodiment shown in this figure, the game is a four row byfour column grid 505; however, such a configuration is not required anda different number of rows and/or columns may be provided in the grid.The electronic game 500 includes a particular pattern or shape withintwo or more of the selectable blocks (510, 515, 520, 525), which in thepresent embodiment is a four-circle pattern, and a unique indicator is adistinguishing aspect of the particular pattern or shape presented inthe different selectable blocks. As may be understood from FIG. 4, theunique indicator is a number of vertical lines provided in the bottomportion of one or more of the four circle pattern. The first selectableblock 510 does not include a vertical line in the bottom portion of anyof the circles of the pattern; the second selectable block 515 includesa vertical line as part of one of the circles of the pattern; the thirdselectable block 520 includes a vertical line as part of two of thecircles of the pattern; and the fourth selectable block 525 includes avertical line as part of three of the circles of the pattern. The uniqueindicator associated with each instance of the pattern may indicate asequential order of the pattern for the electronic game.

As presented in the example shown in FIG. 4, the objective of theelectronic game 500 is to select (e.g., by using a pointing device, suchas a mouse, or using the user's finger in a touch screen display),within the user interface, as many selectable blocks as possible,without reselecting any selectable blocks, in traversing between eachselectable block that includes the pattern. Additionally, in traversingbetween the selectable blocks, the objective is to select the selectableblocks that include the pattern in the sequential order as identified bythe unique identifier of each instance of the pattern. For example, inthe present implementation of electronic game 500, the objective is totraverse from the first selectable block 510 to the second selectableblock 515 to the third selectable block 520, and finally, to the fourthselectable block 525 while selecting as many selectable blocks in thegrid 505 without reselecting (i.e., selecting a block more than once)any of the selectable blocks.

Additionally, the electronic game 500 includes a menu 530 that includesa timer 532, and a hint button 534. Upon selection of the hint button534, as shown by the pointer 540 in FIG. 5, the electronic game 500provides a hint regarding the electronic game 500. For example, in thepresent implementation, the hint may initiate the first selectable block510 to be identified in a highlighted presentation, as shown in thefirst selectable block 510, which is the first instance of the patternin the sequential order for which the selectable blocks that include thepattern are to be selected. In some implementations, the electronic game500 may indicate that this is the first instance of the pattern, but inother implementations, only the highlighted presentation in the userinterface is provided and the user is required to identify thesignificance of the highlighted presentation. Additionally, as describedabove, when the user selects a learning aid or performance aid, such ashint button 534, the user's self-awareness score and performance scoremay be adjusted.

Further, FIG. 5 provides a second user interface of the electronic game500. FIG. 5 shows an occurrence of the user, with the pointer 540,selecting the hint button 534 for a second time. For example, in thepresent implementation, the hint initiates the fourth selectable block525 to be identified in a highlighted presentation, as shown in thefourth selectable block 525, which is the final instance of the patternin the sequential order for which the selectable blocks that include thepattern are to be selected. In some implementations, the electronic game500 may indicate that this is the final instance of the pattern, but inother implementations, only the highlighted presentation in the userinterface is provided and the user is required to identify thesignificance of the highlighted presentation. Additionally, in otherimplementations, more or different hints may be provided. As describedabove, the user's self-awareness score and/or performance score may beadjusted based on the user selecting the hint button 734 for a secondoccurrence (or any other occurrence).

As discussed above, rather than presenting one or more hints to a user,the system may allow, or require a user to execute, a dry run of aparticular electronic activity (e.g., a game) before executing theelectronic activity for evaluation purposes (e.g., to earn points thatwould be used to evaluate the user's performance). FIG. 23A shows asystem user interface displaying instructions where the user mustexecute a dry run of a particular game before executing the game forevaluation purposes. FIG. 23C shows a system user interface displayinginstructions where the user has the option of executing a dry run of aparticular game before executing the game for evaluation purposes.

As shown in FIG. 23B, in various embodiments, the system may allow auser to optionally display a visual representation of their performanceduring a dry run (e.g., a path followed by a user during a dry run of aparticular game). This may be useful in helping the user learn fromtheir performance during the dry run. FIG. 24A shows a game board beforethe user plays the game. FIG. 24B shows the path taken by the userduring a dry run, where the user's path is represented by dashed linesbeginning with the lower right triangle and ending with the upper righttriangle. FIG. 23B shows that the user may selectively cause the systemto display the path taken by a user during a dry run by selecting a “dryrun” icon, such as the “dry run” icon shown in FIG. 24A.

Self-Awareness and Memory Module

In particular embodiments, a Self-Awareness and Memory Module 600 isconfigured to: (1) initiate a self-awareness assessment; (2) provide oneor more instructions for the self-awareness assessment; and (3)calculate (e.g., or modify an existing) awareness score (e.g.,self-awareness score) for a user based on the user's adherence to theone or more instructions during completion of the self-awarenessassessment.

Turning to FIG. 6, in particular embodiments, when executing theSelf-Awareness and Memory 600, the system begins, at Step 610, byinitiating a self-awareness assessment (e.g., one or more electronicactivities or games) for a user. In particular embodiments, initiatingthe self-awareness assessment comprises executing computer code on asuitable computing device such as a smartphone or tablet computer (e.g.,or any of the one or more remote computing devices 130 shown in FIG. 1).In particular embodiments, initiating the self-awareness assessmentcomprises displaying, via a suitable computing display, a graphical userinterface comprising the self-awareness assessment. In variousembodiments, initiating the self-awareness assessment further comprisescreating an electronic record for the self-awareness assessment,digitally storing the record in memory, and electronically associatingthe record with a user that is to complete the self-awarenessassessment. In particular embodiments, the self-awareness assessment isembodied as an electronic game comprising a plurality of inputs throughwhich the user can provide input to the system, respond to one or moreprompts from the system, and otherwise interact with the system duringthe self-awareness assessment.

Continuing the Step 620, the system is configured to display a set ofinstructions associated with the self-awareness assessment. Inparticular embodiments, the system is configured to display the set ofinstructions on a graphical user interface (e.g., on a suitable videodisplay screen associated with a computing device). In variousembodiments, the set of instructions is associated with theself-awareness assessment and includes one or more tasks related to theself-awareness assessment, one or more goals related to theself-awareness assessment, one or more instructions related to theself-awareness assessment, etc.

In particular embodiments, the set of instructions includes one or moreactivities that the user must (e.g., or should) perform during theself-awareness assessment. For example, a self-awareness assessment mayinclude: (1) a main task (e.g., a primary task); (2) one or moresub-tasks (e.g., one or more targeted tasks); (3) one or moreconditional tasks; (4) one or more time conditional tasks, and/or (5)any other suitable task or activity that the self-awareness assessmentis tasking the user with doing or completing for the purpose ofmeasuring the user's awareness (e.g., and/or performance).

In particular embodiments, the set of instructions comprise a main task(e.g., a primary task). In particular embodiments, the primary task mayinclude any suitable primary task such as entering data via thegraphical user interface (e.g., via one or more keyboard inputs). Themain task may include, for example, completing one or more mathproblems, reading, data entry, selecting a sequence of inputs, matching,or any other task that includes the provision, by the user, of one ormore inputs to the system.

In still other embodiments, the set of instructions includes one or moresub-tasks (e.g., one or more targeted tasks). The one or more sub-tasksmay include, for example: (1) an instruction to select a particularindicia on the graphical user interface when a particular image appearson the display; (2) an instruction to select a particular indicia on thegraphical user interface if the user provides a particular input as partof the main task (e.g., enters a number within a particular range,selects a particular object, etc.); and/or (3) any other suitableinstruction to select a particular indicia on the graphical userinterface or perform any other suitable action as part of theself-awareness assessment for any suitable reason.

In any embodiment described herein, the one or more conditional tasksmay include an instruction to perform a suitable action or select asuitable indicia in response to the occurrence of a particularcondition. For example, during the course of the self-awarenessassessment, a particular condition may occur (e.g., one or more imagesmay change on the display, one or more portions of the main task may becompleted, etc.). The set of instructions may include an instruction forthe user to perform a particular action (e.g., or complete a particulartask) in response to the occurrence of the one or more conditionaltasks.

In various embodiments, the set of instructions include one or moreinstructions related to one or more time conditional tasks. In suchembodiments, the one or more time conditional tasks may include aninstruction to perform a particular task at a particular time during theself-awareness assessment. As may be understood in light of thisdisclosure, a particular self-awareness assessment may include aparticular time limit. In such embodiments, the self-awarenessassessment may include, on the display, a time indicator that indicates,for example, an elapsed time, an amount of time remaining, etc. The oneor more time conditional tasks may include an instruction to perform aparticular task (e.g., select a particular indicia) at a particular timeduring the self-awareness assessment. This may, for example, testwhether the user can keep track of time as the user completes the maintask.

Returning to Step 630, the systems electronically receives, from theuser, input data during completion of the self-awareness assessment. Invarious embodiments, the system is configured to receive the input datavia selection, by the user, of one or more on-screen indicia (e.g., viaa touchscreen device). In other embodiments, the system is configured toreceive the input data via one or more input devices (e.g., a keyboardand/or mouse). In various embodiments, the input data comprises timingdata for each particular input received from the user during theself-awareness assessment (e.g., a time at which each particular inputwas received).

For example, the input data may include one or more of the following:(1) first input data received at a first time associated with a maintask; (2) second input data received at a second time associated with asub-task; (3) third input data received at a third time associated witha conditional task; and/or (4) fourth input data received at a fourthtime associated with a time conditional task. In various embodiments,the system may be configured to receive a plurality of input data at aplurality of different times for each of the particular tasks describedabove. In some embodiments, the system is configured to store the inputdata and associated timing data in memory.

Continuing to Step 640, the system processes the input data bycalculating an awareness score for the user (e.g., or modify an existingawareness score associated with the user) based at least in part on theinput data. In various embodiments, each particular task described abovemay include a plurality of target inputs for the user, each having aparticular target time. In various embodiments, the system is configuredto modify the awareness score for the user based at least in part on aproximity of a completion time of each of the plurality of target inputsto its respective target time. In particular embodiments, the targettime may, for example, be based on the set of instructions.

The system may, for example, electronically adjust the awareness scorebased at least in part on a first input, a first input time associatedwith the first input, and one or more instructions associated with atask for which the first input was provided (e.g., the main task). Wherethe one or more instructions associated with the task for which thefirst input was provided include a target time, the system may, forexample: (1) determine whether the first input time is the first targettime; (2) in response to determining that the first time is the firsttarget time, increasing the awareness score by a first particularamount; (3) in response to determining that the first time is not thefirst target time, determining a delay time between the first input timeand the first target time; and (4) increasing the awareness score by asecond particular amount based at least in part on the delay time. Insome embodiments, if the delay time is longer than a threshold amount(e.g., or if the system never receives a target input), the system maybe configured to decrease the awareness score. As may be understood inlight of this disclosure, the longer it takes a user to provide theinput after the first target time, their awareness score will increaseby a lesser amount or even decrease as more time elapses (e.g., becausethis may indicate a lack of awareness).

In a particular example, while completing the main task during theself-awareness assessment, the system may display a targeted task (e.g.,by displaying a particular image on the display screen). In response tothe user selecting an associated indicia to indicate that the usernoticed the targeted task, the system is configured to increase theawareness score. In some embodiments, in response to the user selectingthe associated indicia after a delay, the system is configured toincrease the awareness score (e.g., by an amount less than the systemincreases the score if the user notices the targeted task right away).In response to the user not selecting the associated indicia after thetargeted task appears and disappears, the system is configured todecrease the awareness score.

In further embodiments, the system is configured to cause one or moreconditions to occur that may trigger a conditional task (e.g., bydisplaying one or more images or videos, by modifying one or more imagesor videos in the graphical user interface, etc.). In response to theuser selecting an associated indicia to indicate that the user noticedthat the condition occurred as part of the conditional task, the systemis configured to increase the awareness score. In some embodiments, inresponse to the user selecting the associated indicia after a delay, thesystem is configured to increase the awareness score (e.g., by an amountless than the system increases the score if the user notices theconditional task right away). In response to the user not selecting theassociated indicia after the one or more conditions occur and then stopoccurring, the system is configured to decrease the awareness score.

In still other embodiments, the system is configured to indicate to theuser, via the interface, that one or more time conditions have occurred(e.g., via a clock, etc.), triggering a time conditional task. Inresponse to the user selecting an associated indicia to indicate thatthe user noticed the time conditional task, the system is configured toincrease the awareness score. In some embodiments, in response to theuser selecting the associated indicia after a delay, the system isconfigured to increase the awareness score (e.g., by an amount less thanthe system increases the score if the user notices the time conditionaltask right away). In response to the user not selecting the associatedindicia during the occurrence of the one or more time conditions, thesystem is configured to decrease the awareness score.

In various embodiments, the system is configured to modify, increase, ordecrease the awareness score based on an analysis of each input providedby the user during the self-awareness assessment in addition to a timeof each input and its related target time. In particular embodiments,the system is configured to modify, increase or decrease the score in anamount based on one or more weighting factors related to an importanceof a task associated with the particular input. For example, missing orcompleting one or more inputs related to a main task may cause a greaterdecrease or increase in the awareness score than missing or completingone or more less important inputs (e.g., such as one related to a timeconditional or other task).

In such embodiments, the system is configured to receive one or moreweighting factors for each particular task that makes up the set ofinstructions. In various embodiments, the system is configured to usethe one or more weighting factors to calculate the awareness score. Invarious embodiments, the one or more weighting factors may, for example,be specific to the user. For example, a particular user may desire toimprove particular skills related to executive function (e.g., based onthe user's one or more goals discussed herein). In such embodiments, thesystem may be configured to automatically weight particular input typeshigher for scoring purposes for such users. For example, for aparticular user that has trouble remembering particular time commitmentsor tasks, the system may weigh time conditional tasks higher (e.g., thanother tasks) for awareness score calculation purposes (e.g., 1% higher,2% higher, 5% higher, 10% higher, and so on). In various embodiments,the awareness score may be on a scale, as a percentage, as a lettergrade, or in any other suitable configuration.

Returning to Step 650, the system digitally stores the awareness scorein memory. In various embodiments, the system is configured to associatethe awareness score with the electronic record for the self-awarenessassessment. In other embodiments, the system is configured to associatethe awareness score with the user. In various embodiments, the system isconfigured to track a change in awareness score for a particular userover time (e.g., based on a change in awareness score determined and/orcalculated from different self-awareness assessments that the user takesover time). In particular embodiments, the system is further configuredto generate a visual representation of the change in awareness score(e.g., a graph) and display the visual representation to any suitableindividual upon request.

Exemplary User Experience of a Self-Awareness Assessment

FIG. 7 depicts an exemplary screen display with which a user maycomplete a self-awareness assessment. As may be understood in thisfigure, the screen display 700 depicts a set of instructions 905 for theuser to follow during the completion of the self-awareness assessment.As may be understood from this figure, the set of instructions 705 mayinclude any suitable set of instructions, such as those described abovewith respect to the Self-Awareness and Memory Module 600. As shown inthis figure, the set of instructions 705 includes an instruction toclick on a medal indicia 710 if: (1) the user sees a pineapple indicia715 displayed on the screen; and/or (2) the user types in the number“100” 720. The screen display also includes a Begin button 730, whichthe user may select to initiate or otherwise begin the self-awarenessassessment. As may be understood in light of this disclosure and thedescription of the Self-Awareness and Memory Module 600, theseinstructions may include one or more instructions related to a targetedtask or sub-task of a main task that the user is completing during theself-awareness assessment.

FIG. 8 depicts an exemplary screen display 800 and user interface withwhich a user may complete a self-awareness assessment according to aparticular embodiment. In the example shown in this figure, the maintask of the self-awareness assessment may include the user entering,using a text entry box 805 and associated number inputs 810, a pluralityof numbers from a listing of numbers 815. The user may, for example, betasked with systematically entering all of the numbers from the listingof numbers 815 into the text entry box 805 during the self-awarenessassessment. The assessment may, for example, be timed, and the systemmay track the time and display time elapsed and/or remaining to the userusing a clock 820 or other suitable time display. This may, for example,test a user's ability to accurately reproduce entries (e.g., payattention to what they are doing), maintain awareness that they aremaking entries correctly, etc.

As may be understood from FIG. 8, the embodiment of the self-awarenessassessment displayed may implement the set of instructions 705 describedabove with respect to FIG. 7. As shown in FIG. 7, the appearance of thepineapple indicia 715 should trigger the user to select the medalindicia 710 (e.g., when the pineapple indicia 715 appears while the useris completing the main task). Although the number “100” 720 does notappear in the current listing of numbers 815, the user should alsoselect the medal indicia 710 if the number “100” 720 did appear on thelist, when the user was entering the number “100” 720 into the textentry box 805. In the example describe above, because the user selectedthe medal indicia 710 while the pineapple indicia 715 was beingdisplayed, the system would increase the awareness score (e.g., based onan amount of time elapsed between the appearance of the pineappleindicia 715 and selection, by the user, of the medal indicia 710.

Although FIG. 8 incorporates the set of instructions 705 from FIG. 7 inthe example described above, other embodiments may utilize any othersuitable set of instructions. For example, the self-awareness assessmentshown in FIG. 8 may utilize one or more time conditional tasks using,for example, the clock 820 (e.g., the instructions may instruct the userto select the medal indicia 710 if the clock reads a particular timewhile the user is playing a game).

FIG. 9 depicts another exemplary screen display 900 with which a usermay complete another exemplary self-awareness assessment. As may beunderstood in this figure, the screen display 900 depicts a set ofinstructions 905 for the user to follow during the completion of theself-awareness assessment. As may be understood from this figure, theset of instructions 905 may include any suitable set of instructions,such as those described above with respect to the Self-Awareness andMemory Module 600. In the embodiment shown in this figure, the set ofinstructions 905 include an instruction to click on a medal indicia 910if: (1) the user sees a face indicia 915 displayed on the screen; (2)the receipt is a toy store receipt 920; and/or (3) the receipt is areceipt between “$50 and $60” 925. The screen display also includes aBegin button 930, which the user may select to initiate or otherwisebegin the self-awareness assessment. As may be understood in light ofthis disclosure and the description of the Self-Awareness and MemoryModule 600, these instructions may include one or more instructionsrelated to a targeted task or sub-task of a main task that the user iscompleting during the self-awareness assessment.

FIG. 10 depicts an exemplary screen display 1000 and user interface withwhich a user may complete a self-awareness assessment according to aparticular embodiment. In the example shown in this figure, the maintask of the self-awareness assessment may include the user entering,using a receipt entry field 1005 and associated number inputs 1010,information regarding a plurality of receipts from a stack of receipts1015. The user may, for example, be tasked with systematically enteringdata such as a store name, amount, and category for all of the receiptsfrom the stack of receipts 1015 during the self-awareness assessment.The assessment may, for example, be timed, and the system may track thetime and display time elapsed and/or remaining to the user using a clock1020 or other suitable time display.

As may be understood from FIG. 10, the embodiment of the self-awarenessassessment displayed may implement the set of instructions 905 describedabove with respect to FIG. 9. As shown in FIG. 10, because the receipt920 at the top of the stack of receipts is a toy store receipt 920(e.g., a Toys R-Us receipt), the user is selecting the medal indicia 910as instructed. Because the user is successfully selecting the medalindicia 910, the system would increase the awareness score (e.g., basedon a weighting factor associated with the receipt recognizing task).

FIG. 11 depicts an exemplary screen display 1100 showing an exemplarynew task 1105 interrupting a main task that the user is performing(e.g., the main task described above with respect to FIG. 10). As may beunderstood from this figure, the new task 1105 includes a To Do List1110 of actions to perform. The To Do List 1110 may include, forexample, a list of tasks to perform in the representation of a kitchen1115 shown in this figure. The list of tasks may include, for example,putting away dishes (e.g., by selecting the dishes and then selecting acabinet), cleaning particular items in the kitchen (e.g., by selectingthem), etc. In various embodiments, the user must perform the list oftasks in order. In various embodiments, the system may return the userto the main task (e.g., in FIG. 10) once the user has completed the listof tasks in the new task 1105.

For example, if the user performs the tasks from the To Do List 1110 inorder, the system may increase a performance or awareness score for theuser. If the user tries to perform an erroneous task or chore as part ofthe new task 1105 or performs a task out of order, the system maydecrease the performance and/or awareness score. If the user omits atask, the system may decrease the awareness and/or performance score.

Self-Awareness and Error Evaluation Module

In particular embodiments, when executing a Self-Awareness and ErrorEvaluation Module 1200, the system is configured to provide an interfacewith which the user can review and evaluate the user's own or anotheruser's performance on a particular game. The system may, for example,display a replay of another user's performance of a particular game(e.g., a visual representation of the user's actions). While the user isreviewing the other user's play in a particular game, the system may beconfigured to prompt the user to evaluate one or more errors made by theother user. In particular embodiments, the system is configured tomodify the user's awareness score in response to the user correctlyidentifying a type of a particular error. In still other embodiments,the system is configured to modify the user's score if the user is ableto evaluate a correct reason for the error.

In particular embodiments, the system is configured to enable the userto evaluate their own performance (e.g., without informing the user thatit is their own performance that they are evaluating). Some individualsmay, for example, be unable to recognize their own shortcomings, but arebetter able to point out mistakes and reasons for mistakes in others. Bypresenting the user with their own performance for their review, thesystem may be configured to enable the user to evaluate their ownperformance more accurately or openly.

In particular embodiments, the system is configured to provide feedbackto the user during a particular evaluation session. For example, byhaving the user identify one or more errors in replays of gamespreviously played by themselves or others, the system may teach the userto identify errors in execution when playing a game and reasons forthose errors. In particular embodiments, this teaching may enable theuser to identify potential errors in the future when the user is playingother iterations of various games. In particular embodiments, the systemis further configured to modify a user's awareness score based at leastin part on the user's recognition of the benefit of the evaluationsessions. For example, the system may be configured to increase theuser's awareness score in response to the user providing feedback thatthe evaluations and feedback that the user received was helpful and thatthe user will incorporate that feedback into their life. In variousembodiments, the Self-Awareness and Error Evaluation Module 1200 mayfacilitate coaching of the user using techniques to improve theirexecutive function skills though review.

Turning to FIG. 12, when executing the Self-Awareness and ErrorEvaluation Module 1200, the system begins, at Step 1210 by facilitatingan evaluation, by a first user, of an electronic activity completed by asecond user. In particular embodiments, the second user is any suitableuser that has completed any suitable electronic activity (e.g.,electronic game, self-awareness assessment, etc.). In other embodiments,the second user is a user that has completed a game that the first userhas also completed. In still other embodiments, the first user is thesecond user. In particular embodiments, for example, the system isconfigured to enable the user to evaluate their own performance (e.g.,without informing the user that it is their own performance that theyare evaluating). Some individuals may, for example, be unable torecognize their own shortcomings, but are better able to point outmistakes and reasons for mistakes in others. By presenting the user withtheir own performance for their review, the system may be configured toenable the user to evaluate their own performance more accurately oropenly.

Continuing to Step 1220, the system displays, via a suitable graphicaluser interface (GUI), a visual representation of a second usercompleting the electronic activity. In particular embodiments, thesystem is configured to display the GUI via a suitable computing device(e.g., the one or more remote computing devices 130 shown in FIG. 1). Inparticular embodiments, the visual representation of the second usercompleting the electronic activity comprises a video replay of thesecond user completing the electronic activity. In other embodiments,the visual representation comprises one or more images of the seconduser completing the electronic activity. In still other embodiments, thevisual representation comprises a visual indication of the second user'sinput device (e.g., finger, mouse, etc.) while the user is (e.g., was)completing the electronic activity. This may, for example, indicate tothe first user what the second user was clicking on, selecting, andotherwise inputting while completing the electronic activity. In stillother embodiments, the system may also include an audio representationof the second user's completion of the activity. This may include, forexample, audio of one or more ambient noises that the second user heardas the second user completed the activity, or any other suitable sound.

Returning to Step 1230, the system, while displaying the visualrepresentation of the second user completing the electronic activity,gathers feedback from the first user indicating the second user'sperformance on the electronic activity. In particular embodiments,gathering feedback comprises gathering feedback regarding the seconduser's performance in completing the electronic activity. The feedbackmay include, for example: (1) that the second user should have used alearning aid; (2) that the second user should have utilized a differentlearning aid than they utilized; (3) that the second user seemed tostruggle with a particular type of task; (4) that the second usercommitted a particular error; (5) that the second user committed aparticular type of error; (6) one or more reasons for an identifiederror; (7) one or more distractions identified by the first user; (8)one or more obvious consequences of the one or more distractions; (9)one or more unseen consequences of the one or more distractions; and/or(10) etc.

In particular embodiments, the system is configured to assign the firstuser to an additional user that is evaluating the second user. Thesystem may then be configured to enable the first user to evaluate theadditional user's evaluation of the second user. In such embodiments,the system is configured to collect additional feedback data from thefirst user regarding the additional user's evaluation of the second usersuch as, for example: (1) the additional user has misidentified anerror; (2) the additional user has misidentified a cause of an error orreason for the error; (3) the additional user has missed one or moreerrors; and/or (4) the additional use made any other suitable mistake intheir evaluation. In particular embodiments, the additional user is athird user. In various embodiments, the additional user is the firstuser. In such embodiments, the system may display, to the first user, avisual representation of the first user evaluating the second user at aprior time. In various embodiments, the additional user is a virtualuser. (e.g., the additional user may not include a real person, but asimulated person).

In still other embodiments, the feedback data comprises feedback dataassociated with one or more correct actions taken by the second user. Inthis way, the system may provide a learning opportunity to the firstuser even if the first user is not merely identifying mistakes (e.g.,even if there are no mistakes to identify).

At Step 1240, the system is configured to automatically evaluate thefeedback data to determine a learning score for the first user, whereinevaluating the feedback data comprises modifying the learning scorebased at least in part on the feedback data. The system may, forexample, identify a type of error identified from the feedback datagathered at Step 1230 above. The system may then determine whether theidentified type of error is relevant to one or more errors actuallycommitted by the second user. The system may then, in response todetermining whether the identified type of error is relevant to the oneor more errors, modify the learning score by: (1) increasing thelearning score if the identified type of error is relevant; and (2)decreasing (e.g., not increasing) the learning score if the identifiedtype of error is not relevant.

In particular embodiments, the system is further configured for: (1) inresponse to determining that the identified type of error is notrelevant to the one or more errors, prompting the user to identify asecond type of error; (2) determining whether the identified second typeof error is relevant to the one or more errors; and (3) in response todetermining that the identified second type of error is relevant to theone or more errors, increasing the learning score. In this way, thesystem may provide the first user with an additional opportunity toidentify the error.

In particular embodiments, the feedback data may comprise one or moredistractions identified by the first user. In such embodiments, thesystem may prompt the first user to identify one or more errors causedby the one or more distractions (e.g., audio or visual distractions).

In embodiments in which the first user is reviewing a third user'sevaluation of a second user, the system may be configured to: (1)identify a type of glitch regarding the third user's evaluation; (2)prompt the first user to evaluate one or more consequences of theglitch; and (3) in response to the first user evaluating the one or moreconsequences, modifying the first user's learning score (e.g., based onthe first user's evaluation of the one or more consequences). In thisway, the system may be configured to teach the user to identify obviousand unseen consequences in errors in both performing and evaluating aparticular electronic activity. The user may then use these skills ofidentification when completing future activities to avoid potentialpitfalls and mistakes that could affect their performance and/orawareness.

In various embodiments, the feedback data may be related to the one ormore goals discussed below with respect to the Executive FunctionTraining Module 1800 below. As will be discussed more fully below, thesystem may be configured to prompt a user to connect errors and otherfeedback derived from various electronic activities to real-life goalsthat the system has identified for the first user.

In particular other embodiments, the system is configured to prompt theuser to evaluate one or more benefits of the evaluation sessionsdiscussed above. The system may, in response to receiving positivefeedback regarding the evaluation sessions, be configured to modify theuser's learning score (e.g., by increasing it). This may, for example,encourage the user to see the benefit in evaluation and coaching as itpertains to an overall improvement in executive function and relatedskills.

Returning to Step 1250, the system digitally stores the learning scorein an electronic record associated with the first user. In variousembodiments, the electronic record associated with the first user is theelectronic record for the self-awareness assessment discussed above withrelation to Step 650 of the Self-Awareness and Memory Module 600. Inparticular embodiments, the system is configured to associate thelearning score with the first user in computer memory (e.g., the one ormore databases 140 shown in FIG. 1). In various embodiments, the systemis configured to track a change in learning score for a particular userover time (e.g., based on a change in learning score determined and/orcalculated as the user completes additional electronic activities and/orself-awareness assessments, provides feedback, provides strategyrecommendations/selections, etc.). In particular embodiments, the systemis further configured to generate a visual representation of the changein learning score (e.g., a graph) and display the visual representationto any suitable individual upon request.

Exemplary User Experience of Error Evaluation

FIGS. 13-17 depict exemplary screen displays that a user may experiencewhen evaluating one or more electronic activities performed by a seconduser (e.g., a virtual user). Turning to FIG. 13, as may be understoodfrom this interface 1300, the system may display a virtualrepresentation of a coach 1310, who may, for example, guide the userthrough the process of evaluating the second user. As shown in FIG. 13,the user may select to go over one or more glitches from a particularelectronic activity (e.g., game).

FIG. 1400 shows a user interface 1400 via which a user may review asecond user's (e.g., Ethan's) performance on a particular electronicactivity. As may be shown in this figure, the user interface 1400includes a visual representation 1410 of the second user completing theelectronic activity. In particular embodiments, the visualrepresentation 1410 includes a simulated display of a virtual usercompleting the electronic activity. Continuing to FIG. 15, the systemdisplays a user interface 1500 via which the user can provide feedbackregarding the second user's completion of the electronic activity. Asshown in this figure, the interface 1500 comprises a plurality ofselected mistake options 1510, from which a user may select anidentified mistake or issue with the second user's completion of theactivity.

Continuing to FIG. 16, the user interface 1600 provides feedbackregarding the user's selection provided via the interface 1500 in FIG.15. In particular, the coach 1310 in FIG. 16 is providing feedback 1620that the user provided an incorrect answer (e.g., identified a mistakethat the second user did not make). Continuing to FIG. 17, the interface1700 comprises feedback 1720 from the coach 1310 indicating the correctmistake, and further depicts the correct selected mistake from theselected mistake options 1710.

Executive Function Training Module

In various embodiments, the system, when executing an Executive FunctionTraining Module 1800, is configured to facilitate an improvement of aparticular user's executive function skills (e.g., by tracking theuser's executive function progress, modifying and updating a user'sgoals related to improving his or her skills related to executivefunction, etc.) In particular embodiments, when executing the ExecutiveFunction Training Module 1800, the system is configured to create anelectronic record for each individual user, which may, for example,include a user profile. In various embodiments, the system may populatethe user profile with information regarding the user's strengths andweaknesses relating to the user's executive function. The system mayidentify these strengths and weaknesses based at least in part on datarelated to the user's performance and self-awareness determined duringthe user's completion of the various iterations of games and otherelectronic activities discussed above. In particular embodiments, thesystem is configured to calculate a self-awareness score, performancescore, etc. for a user based on the user's performance on one or moreparticular activities such as one or more self-awareness assessments,one or more games, etc. The system may then generate and/or store goalsfor the user and associate those goals with the user profile.

In particular embodiments, the system (e.g., via the Executive FunctionTraining Module 1800) comprises a training process for improving theuser's executive function (e.g., such as the executive function skillsdiscussed above). For example, the system may provide a plurality oftraining games that are tailored to the user and based at least in parton the user's goals. The system may, for example, as part of thetraining process, track the user's progress by analyzing one or moreconnections between the user's strategy in playing particular games, theuser's goals, and real-life skills that the user is attempting todevelop.

As part of the training process, the system may measure the user'sability to connect strategies for performing in particular games to reallife skills and the user's goals. The system may, for example, calculatea score for the user that relates to the user's ability to evaluate theusefulness of particular strategies that reflect a connection betweennew things the user has learned while evaluating errors and real-lifeskills that are reflected in the user's goals. For example, the system,in various embodiments, may be configured to modify such a score basedon a user's ability to: (1) identify one or more effective habits totake away from evaluating another user's performance in particulargames; (2) pick a strategy aid that actually helps the user'sperformance in a particular game (e.g., results in improvedperformance); (3) match one or more strategies or habits to particularlife goals; (4) rate the usefulness of provided strategies; and/or (5)etc.

Referring to FIG. 18, when executing the Executive Function TrainingModule 1800, the system begins, at Step 1810, by identifying one or moregoals for a user based at least in part on the user's performance dataand self-awareness level. In particular embodiments, the system may beconfigured to gather such performance and self-awareness data using anysuitable technique described herein (e.g., via the Self-AwarenessDetermination Module 300 and/or the Self-Awareness and Memory Module 600described above).

In particular embodiments, the one or more goals may include anysuitable goal such as a goal to improve one or more skills related toexecutive function that the system identifies that the user may lackingin or be in need of improvement on. These skills may include, forexample: (1) keeping track of time; (2) making plans; (3) making surework is finished on time; (4) multi-tasking; (5) applying previouslylearned information to solve a problem; (6) analyzing ideas; (7) lookingfor help or more information if they need it; and/or (8) any othersuitable skill related to executive function and/or described herein. Ina particular example, referring back to FIG. 10, when entering theinformation from the various receipts, a user that has troubleremembering to look out for the face indicia 915 may struggle with theskill of multi-tasking. In this example, the system may determine thatthe one or more goals for the user include a goal to improvemulti-tasking ability.

In particular embodiments, the one or more goals comprise real-lifegoals for the user to aspire to. In still other embodiments, the one ormore goals include one or more goals related to the one or moreelectronic activities (e.g., complete a particular number of activities,make a particular amount of progress in a particular amount of time,improve an awareness or performance score by a particular amount, etc.).

Returning to FIG. 18, at Step 1820, the system is configured to gatherstrategy data for the user related to the identified one or more goals.In particular embodiments, the system may, for example, require the userto select a particular strategy aid (e.g., for use in a particularelectronic game or activity, such as any electronic activity describedherein). In various embodiments, the strategy aid may include, forexample, (1) a demo of the game; (2) a hint regarding how to play thegame successfully; and/or (3) an opportunity to replay the game. Inother embodiments, the strategy aid may include, for example: (1)enabling the user to review a video of themselves playing anotheriteration of the game; (2) enabling the user to view a video related tothe importance of training; (3) enabling the user to review their one ormore goals; and/or (4) etc.

In still other embodiments, the system is configured to collect strategydata by prompting the user to recommend the single most relevantstrategy from one or more provided options (e.g., most relevant for aparticular game). In still other embodiments, the system may gather databy prompting the user to provide at least a particular number ofeffective smart habits for use in one or more future iterations of agame. In still other embodiments, the system may prompt the user to mathone or more of the user's goals to strategies identified by the user. Instill other embodiments, the system is configured to enable the user torate the usefulness of one or more provided strategies. In suchembodiments, the system may be configured to collect such strategy datain order to analyze a connection between strategies that the user isable to successfully or unsuccessfully apply to an electronic game tothe user's real-life goals identified at Step 1810.

Continuing to Step 1830, the system is configured to automaticallyevaluate and analyze the strategy data to assess an executive functionprogression score for the user. For example, in embodiments in which thesystem is configured to prompt the user to select a particular strategyaid, the system may, for example: (1) modify the user's executivefunction progress score based at least in part on whether the useractually selects a strategy aid as instructed; (2) modify the user'sexecutive function progress score based at least in part on whether thestrategy aid actually assists the user in playing the game (e.g.,increases the user's performance score for the game); (3) modify theuser's executive function progress score based at least in part on arelevance of the selected strategy to the particular electronicactivity; (4) modify the user's executive function progress score basedat least in part on whether the user selects an appropriate number ofsmart habits or strategy aids for a particular activity; (5) modify theuser's executive function progress score based at least in part onwhether based on how highly the user rates a particular strategy aid;and/or (6) modifies the user's executive function progress score basedon any other suitable factor related to one or more strategy aidsselected, recommended, or otherwise employed (e.g., not employed) by theuser.

In particular embodiments, the system is configured to: (1) present theuser with an option to select a learning aid (e.g., strategy aid) toassist the user in playing a game; (2) determine whether the user optedto use the learning aid; (3) in response to determining that the useropted to use the learning aid, increasing the executive functionprogression score; and (4) in response to determining that the useropted not to use the learning aid, decreasing (e.g., or not increasing)the executive function progression score. In still other embodiments,the system is configured to: (1) determine whether the learning aidimproved the user's performance while the user completed one or moreelectronic activities; (2) in response to determining that the learningaid improved the performance, increasing a progression score of theuser; and (3) in response to determining that the learning aid did notimprove the performance, decreasing (e.g., not increasing) a progressionscore of the user. In various embodiments, the learning aid may comprisereviewing, by the user, the one or more goals prior to completing aparticular electronic activity.

Additionally, in some embodiments, the user may be presented with alearning aid prior to the user playing the game (e.g., prior to the userselecting the start the game). In response to determining that the useropted to use the learning aid prior to the user playing the game, thesystem may increase (e.g., by at least about 5%, at least about 10%,and/or at least about 20%) the progression score of the user. Inresponse to determining that the user opted to use the learning aidduring the user playing the game, the system may increase (e.g., by atleast about 5%, at least about 10%, and/or at least about 20%) theprogression score of the user. In some implementations, in response todetermining that the user did not opt to use the learning aid prior toor during the user playing the game, the system may decrease (e.g., notincrease) the progression score of the user.

In some embodiments, as the user is performing the electronic activity(e.g., playing a game), a virtual coaching module, as described above,may determine whether the user is making, or has made, one or moremistakes (e.g., performing inaccurately). In response to determiningthat the user is executing one or more mistakes, the virtual coachingmodule may prompt the user to use help in the performance of theelectronic activity. The help may be an option that was providedthroughout the duration of the electronic activity, and/or anotheroption that is available to the user after the coach prompts the user touse help, or at any other suitable time. The help options may include,for example, (1) a selection of a learning aid, (2) an option to redothe electronic activity, (3) one or more tutorials, and/or (4) any othersuitable options. In response to determining that the user selected ahelp option after being prompted by the coach, the system may increasethe progression score of the user. Additionally, in response todetermining that the user did not select a help option after beingprompted by the coach, the system may decrease (e.g., not increase) theprogression score of the user.

In various other embodiments, the system is configured to: (1) presentthe user with an option to select a learning aid that is most relevantto one or more electronic activities; (2) determine a relevance level ofthe learning aid to the one or more electronic activities; and (3) inresponse to determining the relevance level, modifying the performancescore for the user (e.g., based at least in part on the relevancelevel). In various embodiments, the system is configured to determinethe relevance level based on, for example, an association between thelearning aid and the activity. In other embodiments, the system maydetermine the relevance based on one or more pieces of feedback datareceived from the user (e.g., in the context of the Self-Awareness andError Evaluation Module 1200 described above). For example, if the userhad identified a particular type of strategy or learning aid that wouldhave been helpful when evaluating their own previous gameplay or that ofanother user for a similar type of electronic game, the system maydetermine that the learning aid selected by the user as relevant was, infact, relevant based at least in part on such information (e.g., if theuser selects the same type of learning aid as relevant in an instantgame as compared to when the user provided feedback as part of an errorevaluation).

In some embodiments, the system may be further configured to: (1)determine that the learning aid has a high relevance; and (2) inresponse, increasing the progression score by a first amount. In otherembodiments, the system is configured to: (1) determine that thelearning aid has a medium relevance; and (2) in response, increasing theprogression score by a second amount. In some embodiments, the secondamount is less than the first amount. In still further embodiments, thesystem may be configured to: (1) determine that the selected learningaid has a low relevance; and (2) in response, decreasing (e.g., notincreasing or otherwise not modifying) the progression score.

In some embodiments, the system is configured to analyze the user'sperformance on a particular electronic activity (E.g., self-awarenessassessment or game) to identify one or more errors committed during theelectronic activity. In such embodiments, the system may present theuser with an option to select a particular number of smart habits foravoiding those errors during future activities. For example, the systemmay present the user with the option to select two smart habits, threesmart habits, four smart habits, or any other suitable number of smarthabits. In various embodiments, the system may be further configured tomodify the user's executive function progression score based at least inpart on a number of smart habits selected by the user. The system may,for example, increase the user's executive function progression score inresponse to determining that the user selected the indicated number ofhabits. The system may decrease (e.g., not increase) the user'sprogression score in response to determining that the user selectedfewer than the indicated number of habits.

In various other embodiments, the system is configured to: (1) presentthe user with an option to match the one or more goals to a particularsmart habit; and (2) modify the executive function progression score inresponse to the user selecting a smart habit. In various embodiments,the system may increase the progression score to indicate that the useris successfully connecting lessons taken from the one or more activitiesto the user's real-life goals identified at Step 1810. The system mayfurther modify the progression score based at least in part on theselected goal and habit. For example, in response to the user selectinga habit of asking for help as a good habit for a goal of improvingmulti-tasking, the system may be configured to reduce the progressionscore because asking for help may not relate to a user's ability tomulti-task. However, the system may increase the progression score inresponse to the user selecting a habit of asking for help as a goodhabit for completing required tasks on time. For example, recognizingthat the user needs help to complete the task on time and asking for thehelp have a strong causality toward the user recognizing ways they canwork toward the goal of completing tasks on time (e.g., because the usermay be unable to complete the task on time without help).

As discussed above, the system may allow the user to select to perform adry run of a particular electronic activity (e.g., a game) beforeexecuting the electronic activity for evaluation purposes. The systemmay adjust the executive function progression score of the user based on(1) whether the user selected to perform the dry run of the particularelectronic activity, and (2) how the user performed on the dry run ofthe particular electronic activity if the user selected to perform thedry run.

In response to determining that the user opted to perform a dry run ofthe particular activity prior to user performing the electronic activityand that the user performed well on the dry run, the system may increasea progression score of the user. In response to determining that theuser opted to perform a dry run of the particular activity prior to theuser performing the electronic activity, but the user did not performwell on the dry run, the system may decrease or not increase aprogression score of the user. In some embodiments, the system maycalculate a dry run performance score based on the user's performance inthe dry run of the electronic activity. For example, the dry runperformance score may increase when the user performs more accurately inthe dry run performance and decrease (or stay the same) when the userperforms inaccurately in the dry run performance. In someimplementations, in response to determining that the user did not opt toperform a dry run of the particular activity prior to the userperforming the electronic activity, the system may decrease or notincrease the progression score of the user.

Returning to Step 1840, the system is configured to digitally store theexecutive function progression score in an electronic record associatedwith the user. In various embodiments, the electronic record associatedwith the user is the electronic record for the self-awareness assessmentdiscussed above with relation to Step 650 of the Self-Awareness andMemory Module 600. In particular embodiments, the system is configuredto associate the executive function progression score in computer memory(e.g., the one or more databases 140 shown in FIG. 1). In variousembodiments, the system is configured to track a change in executivefunction progression score for a particular user over time (e.g., basedon a change in executive function progression score determined and/orcalculated as the user completes additional electronic activities and/orself-awareness assessments, provides feedback, provides strategyrecommendations/selections, etc.). In particular embodiments, the systemis further configured to generate a visual representation of the changein executive function progression score (e.g., a graph) and display thevisual representation to any suitable individual upon request.

At Step 1850, the system may optionally modify the one or more goalsbased at least in part on the progression score. For example, inresponse to determining that the user's progression score has increasedfor a particular goal or skill, the system may reduce an amount oftraining directed toward that particular goal or skill (e.g., the systemmay provide the user with fewer games catered toward improving thatparticular goal or skill to complete). The system may, for example,increase a number of electronic activities that the user must/maycomplete for one or more other skills for which the user has made lessprogress (e.g., based on the user's progression score associated withthat particular goal or skill decreasing, remaining the same, orincreasing by a lower amount than a progress score for another skill).

In particular embodiments, the system may modify a training planassociated with the user to include more or fewer electronic activitiesrelated to a particular executive function skill. The system may, inother embodiments, adjust a difficulty of one or more existing games inthe training plan. The training plan may, for example, comprise aplurality of electronic activities that the user is scheduled tocomplete. The system may, in particular embodiments, automaticallyadjust the training plan (e.g., the one or more games and/or electronicactivities that make up the plan) based at least in part on the user'sdetermined progress.

Exemplary User Experience of Executive Function Training

FIGS. 19-22 depict exemplary screen displays that a user may experiencerelated to executive function training. FIG. 19 depicts an interface1900 via which a user can access their executive function profile 1905,their executive function goals 1910, one or more training games, 1925,one or more user created videos 1920 (e.g., for review, evaluation,etc.), and/or a coach selection 1925 (e.g., for use in user evaluationas discussed above).

FIGS. 20A-20B depict exemplary threshold questions which a user mayanswer, and which the system may use to determine one or more goals forthe user. The system may, for example generate score for different areasrelated to executive function based at least in part on the user'sresponses to the questions in FIGS. 20A-20B. For example, the system maydetermine a score for the user that the system uses to identify one ormore goals based on, for example: complex attention, working memory,time management, prospective memory, organization and planning,flexibility and perspective taking, motivation, and meta-awareness, etc.

FIG. 21 depicts an exemplary screen display 2100 showing a breakdown ofone or more scores derived for a particular user based, for example, onthe user's responses to one or more questionnaires, the user'sperformance on one or more electronic games, etc. As may be understoodfrom this figure, the screen display 2100 includes a breakdown 2105 of aparticular skill, as well as breakdowns 2110 of a plurality of skillsrelated to executive function. As may be understood form the example inthis figure, the user likely needs the most help on motivation andmeta-awareness. In this case, the system may be configured to identify agoal to improve those skills (e.g., by directing the user to completeone or more electronic games related to those skills).

FIG. 22 depicts a screen display 2200 with which a user may providefeedback regarding a helpfulness rating 2205 of particular strategies.The user may, for example, rate a particular strategy on a star scale toprovide the system with information regarding types of strategies thatthe user finds most helpful.

CONCLUSION

Many modifications and other embodiments of the invention will come tomind to one skilled in the art to which this invention pertains havingthe benefit of the teachings presented in the foregoing descriptions andthe associated drawings. Therefore, it is to be understood that theinvention is not to be limited to the specific embodiments disclosed andthat modifications and other embodiments are intended to be includedwithin the scope of the appended claims. Although specific terms areemployed herein, they are used in a generic and descriptive sense onlyand not for the purposes of limitation.

What is claimed is:
 1. A data processing system for processing dataregarding the self-awareness of a user for use in the development of theuser's executive functions, the data processing system comprising: a. atleast one computer processor; and b. memory operatively coupled to theat least one computer processor; wherein the at least one computerprocessor is adapted for: i. creating an electronic record for aself-awareness training plan associated with the user and digitallystoring the record; ii. executing computer-readable instructions that,when executed by the at least one computer processor, facilitate thecompletion of one or more electronic activities by the user; iii.gathering self-awareness data and performance data of the user as theuser completes the one or more electronic activities, wherein theself-awareness data is associated with the user's awareness of theuser's abilities while the user completes the one or more electronicactivities and the performance data is associated with the user'sperformance while the user completes the one or more electronicactivities; iv. automatically calculating an executive function scorebased at least in part on the self-awareness data and the performancedata; v. digitally storing the performance data, the self-awarenessdata, and the executive function score with the record for theself-awareness training plan; vi. identifying one or more goals for theuser based at least in part on the performance data and theself-awareness data; vii. providing one or more strategies to the userbased at least in part on the identified one or more goals; viii.gathering strategy data for the user related to the provided one or morestrategies; ix. automatically evaluating the strategy data to calculate,for the user, an executive function progression score; and x. digitallystoring the executive function progression score with the record for theself-awareness training plan.
 2. The data processing system of claim 1,wherein: gathering the strategy data comprises: executingcomputer-readable instructions that, when executed by the at least onecomputer processor, facilitate the completion of an additional one ormore electronic activities by the user; while the user completes theadditional one or more electronic activities, presenting, by the atleast one computer processor, the user with an option to select alearning aid that will assist the user in playing the game; determiningwhether the user opted to use the learning aid; in response to the userselecting to use the learning aid, modifying the executive functionprogression score for the user.
 3. The data processing system of claim2, wherein the at least one computer processor is further configuredfor: determining whether the learning aid improved the user'sperformance while the user completed the additional one or moreelectronic activities; and in response to determining that the learningaid improved the user's performance, increasing the executive functionprogression score for the user.
 4. The data processing system of claim3, wherein the at least one computer processor is further configuredfor, in response to determining that the learning aid did not improvethe user's performance, decreasing the executive function progressionscore for the user.
 5. The data processing system of claim 4, whereinthe learning aid comprises reviewing, by the user, the identified one ormore goals prior to completing the additional one or more electronicactivities.
 6. The data processing system of claim 1, wherein gatheringthe strategy data comprises: executing computer-readable instructionsthat, when executed by the at least one computer processor, facilitatethe completion of an additional one or more electronic activities by theuser; presenting, by the at least one computer processor, the user withan option to select a second learning aid that is most relevant to theadditional one or more electronic activities; determining a relevancelevel of the second learning aid to the additional one or moreelectronic activities; and in response to determining the relevancelevel, modifying the executive function progression score for the user.7. The data processing system of claim 6, wherein the at least onecomputer processor is further configured for: determining that thesecond learning aid has a high relevance level to the additional one ormore electronic activities; in response to determining that the secondlearning aid has the high relevance, increasing the executive functionprogression score by a first amount.
 8. The data processing system ofclaim 6, wherein the at least one computer processor is furtherconfigured for: determining that the second learning aid has a mediumrelevance level to the additional one or more electronic activities; inresponse to determining that the second learning aid has the mediumrelevance, increasing the executive function progression score by asecond amount.
 9. The data processing system of claim 6, wherein the atleast one computer processor is further configured for: determining thatthe second learning aid has a low relevance level to the additional oneor more electronic activities; in response to determining that thesecond learning aid has the low relevance, decreasing the executivefunction progression score.
 10. The data processing system of claim 6,wherein: the at least one computer processor is further adapted for:displaying, via a graphical user interface to the user, a visualrepresentation of the second user completing the one or more electronicactivities; and while displaying the visual representation of the seconduser completing the one or more electronic activities, gatheringfeedback data from the user indicating the second user's performance onthe one or more electronic activities, the feedback data comprising atleast one suggested learning aid; and determining the relevance level ofthe second learning aid to the additional one or more electronicactivities comprises determining the relevance level based at least inpart on the feedback data.
 11. The data processing system of claim 10,wherein determining the relevance level of the second learning aid tothe additional one or more electronic activities comprises comparing thesecond learning aid to the at least one suggested learning aid.
 12. Acomputer-implemented data processing method for electronically receivingself-awareness assessment data related to a first user andelectronically calculating an executive function progression score ofthe user, the method comprising: providing, by one or more processors,to the first user, a graphical user interface for completing aself-awareness assessment; receiving, by one or more processors, acommand to initiate a self-awareness assessment associated with thefirst user; creating, by one or more processors, an electronic recordfor the first user and digitally storing the record; initiating, by oneor more processors, the self-awareness assessment; electronicallyreceiving, by one or more processors, during the self-awarenessassessment, input data comprising one or more user inputs from the firstuser; processing, by one or more processors, the input data byelectronically associating the input data with the electronic record forthe first user; automatically analyzing, by one or more processors, theone or more inputs to determine an awareness score for the first user;identifying, by one or more processors, one or more goals for the firstuser based at least in part on the awareness score; gathering strategydata, by one or more processors, for the first user related to theself-awareness assessment; automatically evaluating, by one or moreprocessors, the strategy data to assess, for the first user, theexecutive function progression score; and digitally storing, by one ormore processors, the executive function progression score with therecord for the first user.
 13. The computer-implemented data processingmethod of claim 12, further comprising: analyzing the input data toidentify one or more user errors during the self-awareness assessment;presenting the first user with an option to select a particular numberof habits for avoiding the one or more errors during a futureself-awareness assessment; determining a number of habits selected bythe first user; and modifying the executive function progression scorebased at least in part on the determined number of habits selected andthe particular number of habits.
 14. The computer-implemented dataprocessing method of claim 13, wherein: the particular number of habitscomprise three habits; and modifying the executive function progressionscore based at least in part on the determined number of habits selectedand the particular number of habits comprises increasing the executivefunction progression score in response to determining that the number ofhabits selected by the first user comprises three habits.
 15. Thecomputer-implemented data processing method of claim 13, furthercomprising: presenting the first user with an option to match the one ormore goals to a particular habit of the habits for avoiding the one ormore errors; and in response to selection, by the first user, of theparticular habit, modifying the executive function progression score.16. The computer-implemented data processing method of claim 15, whereinmodifying the executive function progression score in response toselection, by the first user, of the particular habit, comprisesmodifying the executive function progression score based at least inpart on a determined connection among the particular habit, the one ormore goals, and the one or more errors.
 17. The computer-implementeddata processing method of claim 12, further comprising: while the firstuser completes the self-awareness assessment, presenting the first userwith an option to select a learning aid that will assist the first userin completing the self-awareness assessment; determining whether thefirst user opted to use the learning aid; in response to determiningthat the first user opted to use the learning aid, modifying theexecutive function progression score for the first user.
 18. Thecomputer-implemented data processing method of claim 17, furthercomprising: After completion of the self-awareness assessment, promptingthe first user to provide a usefulness rating for the selected learningaid; and modifying the executive function progression score based atleast in part on the usefulness rating.
 19. The computer-implementeddata processing method of claim 18, wherein modifying the executivefunction progression score based at least in part on the usefulnessrating comprises; increasing the executive function progression score inresponse to determining that the usefulness rating is a high rating; andnot increasing the executive function progression score in response todetermining that the usefulness rating is a low rating.
 20. Thecomputer-implemented data processing method of claim 19, furthercomprising: determining whether the learning aid improved the firstuser's performance while the first user completed the self-awarenessassessment; and in response to determining that the learning aidimproved the first user's performance, increasing the executive functionprogression score for the first user.
 21. A computer-implemented dataprocessing method for processing data regarding the self-awareness of auser for use in the development of the user's executive functions, themethod comprising: creating, by one or more processors, an electronicrecord for a self-awareness training plan associated with a user anddigitally storing the record; facilitating, by one or more processors,completion of one or more electronic activities by a user; gathering, byone or more processors, self-awareness data and performance data of theuser as the user completes the one or more electronic activities,wherein the self-awareness data is associated with the user's awarenessof the user's abilities while the user completes the one or moreelectronic activities and the performance data is associated with theuser's performance while the user completes the one or more electronicactivities; digitally storing, by one or more processors, theself-awareness data and the performance data with the record for theself-awareness training plan; identifying one or more goals for the userbased at least in part on the performance data and the self-awarenessdata; providing one or more strategies to the user based at least inpart on the identified one or more goals; gathering strategy data forthe user related to the provided one or more strategies; automaticallyevaluating the strategy data to calculate, for the user, an executivefunction progression score; and digitally storing the executive functionprogression score with the record for the self-awareness training plan.22. The computer-implemented method of claim 21, wherein: gathering thestrategy data comprises: facilitating, by one or more processors,completion of an additional one or more electronic activities by theuser; prior to the user completing the additional one or more electronicactivities, presenting, by the at least one computer processor, the userwith an option to select a learning aid that will assist the user inplaying the game; determining whether the user opted to use the learningaid prior to the user completing the additional one or more electronicactivities; and in response to determining whether the user opted to usethe learning aid prior to the user completing the additional one or moreelectronic activities, modifying the executive function progressionscore for the user.
 23. The computer-implemented method of claim 22,wherein: determining that the user opted to use the learning aid priorto the user completing the additional one or more electronic activities;and in response to determining that the user opted to use the learningaid prior to the user completing the additional one or more electronicactivities, increasing the executive function progression score for theuser.
 24. The computer-implemented method of claim 22, wherein:determining that the user did not opt to use the learning aid prior tothe user completing the additional one or more electronic activities; inresponse to determining that the user did not opt to use the learningaid prior to the user completing the additional one or more electronicactivities, decreasing the executive function progression score for theuser.
 25. The computer-implemented method of claim 21, wherein:gathering the strategy data comprises: facilitating, by one or moreprocessors, completion of an additional one or more electronicactivities by the user; while the user completes the additional one ormore electronic activities, determining whether the user is executingone or more mistakes in the completion of the additional one or moreelectronic activities; in response to determining that the user isexecuting one or more mistakes in the completion of the additional oneor more electronic activities, prompting the user to select one or morehelp options to assist in completing the additional one or moreelectronic activities; determining whether the user opted to select theone or more help options prior to the user completing the additional oneor more electronic activities; in response to determining that opted toselect the one or more help options prior to the user completing theadditional one or more electronic activities, increasing the executivefunction progression score for the user.
 26. The computer-implementedmethod of claim 25, wherein the step of prompting the user to select oneor more help options to assist in completing the additional one or moreelectronic activities further comprises: facilitating, by one or moreprocessors, one or more virtual coaches to view the user complete theadditional one or more electronic activities by a user; in response tothe one or more virtual coaches determining that the user is executingone or more mistakes in the completion of the additional one or moreelectronic activities, facilitating the one or more virtual coaches toprompt the user to select one or more help options to assist incompleting the additional one or more electronic activities.
 27. Thecomputer-implemented method of claim 25, wherein the one or more helpoptions is selected from a group consisting of: a learning aid presentedas the user completes the additional one or more electronic activities;a redo selection presented as the user completes the additional one ormore electronic activities; and one or more tutorial selectionspresented as the user completes the additional one or more electronicactivities.
 28. The computer-implemented method of claim 21, furthercomprising: automatically, by one or more processors, calculating aperformance score of the user based at least in part on the performancedata; automatically, by one or more processors, calculating aself-awareness score of the user based at least in part on theself-awareness data; digitally storing, by one or more processors, theself-awareness score and the performance score with the record for theself-awareness training plan; and identifying the one or more goals forthe user based at least in part on the performance score and theself-awareness score.
 29. The computer-implemented method of claim 21,wherein: gathering the strategy data comprises: facilitating, by one ormore processors, completion of an additional one or more electronicactivities by the user; prior to the user completing the additional oneor more electronic activities, presenting, by the at least one computerprocessor, the user with a dry run option for selection to perform arehearsal iteration of the additional one or more electronic activitiesbefore executing the additional one or more electronic activities forevaluation; gathering, by one or more processors, dry run self-awarenessdata based at least in part on determining whether the user opted toselect the dry run option prior to the user completing the additionalone or more electronic activities; in response to determining that theuser opted to select the dry run option prior to the user completing theadditional one or more electronic activities, gathering, by one or moreprocessors, dry run performance data of the user as the user completesthe rehearsal iteration of the additional one or more electronicactivities; and modifying the executive function progression score forthe user based at least in part on the dry run performance data and thedry run self-awareness data.